-------------------------------------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  \\micro.intra\Projekt\P0624$\P0624_Gem\Politisk Geografi\Results\log\appendix.log
  log type:  text
 opened on:   2 Oct 2023, 17:26:38

. 
. cd "$temp"
\\micro.intra\Projekt\P0624$\P0624_Gem\Politisk Geografi\temp

. gl e eps // eps pdf

. 
. 
. **********************************
. *** Mover analysis (Fig A4.1)  ***
. **********************************
. 
. use "$dat\coordinates.dta", clear

. 
. ren id p_id

. keep if year==2002 |year==2006 | year==2010
(73,759,409 observations deleted)

. sort p_id year

. 
. gen mover =xcoor!=xcoor[_n+1]|  ycoor!=ycoor[_n+1] if p_id ==p_id[_n+1] & year==(year[_n+1]-4)  
(10,466,433 missing values generated)

. gen mover_wm =mover==1 &   llkk==llkk[_n+1] if p_id ==p_id[_n+1] & year==(year[_n+1]-4)
(10,466,433 missing values generated)

. gen mover_om =mover==1 &   llkk!=llkk[_n+1] if p_id ==p_id[_n+1] & year==(year[_n+1]-4)
(10,466,433 missing values generated)

. gen valar=year

. joinby p_id valar using "$dat\mun politician data.dta", unmatched(both) 

. drop if llkk==.
(6,541,599 observations deleted)

. drop _merge ar nrinom* pers* ripartikod  llkk_2 inval_ord 

. gen vald_first =vald==1

. sort p_id year

. forvalues n=1/5{
  2. 
. replace vald_first=0 if vald[_n-`n']==1 & p_id==p_id[_n-`n']
  3. }
(14,546 real changes made)
(398 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)

. replace vald=0 if vald==.
(21,623,071 real changes made)

. 
. joinby  p_id  year using "$dat\lisa_togeo.dta", unmatched(master)

. 
. keep p_id year llkk dist mover* valar vald_first vald age Kon educ_year parti_initial

. 
. do "$do\mun code clean.do" 

. 
. replace llkk = 331 if llkk==1917
(10,413 real changes made)

. replace llkk = 1438 if llkk==1504
(0 real changes made)

. replace llkk = 1439 if llkk== 1507
(0 real changes made)

. replace llkk = 1440 if llkk==1521
(0 real changes made)

. replace llkk = 1441 if llkk== 1524
(0 real changes made)

. replace llkk = 1442 if llkk== 1527
(0 real changes made)

. replace llkk = 1443 if llkk== 1535
(0 real changes made)

. replace llkk = 1444 if llkk== 1602
(0 real changes made)

. replace llkk = 1445 if llkk==1603
(0 real changes made)

. replace llkk = 1446 if llkk== 1637
(0 real changes made)

. replace llkk = 1447 if llkk== 1643
(0 real changes made)

. replace llkk = 1452 if llkk== 1552
(0 real changes made)

. replace llkk = 1460 if llkk== 1560
(0 real changes made)

. replace llkk = 1461 if llkk== 1561
(0 real changes made)

. replace llkk = 1462 if llkk== 1562
(0 real changes made)

. replace llkk = 1463 if llkk== 1563
(0 real changes made)

. replace llkk = 1465 if llkk== 1565
(0 real changes made)

. replace llkk = 1466 if llkk== 1566
(0 real changes made)

. replace llkk = 1470 if llkk==1660
(0 real changes made)

. replace llkk = 1471 if llkk==1661
(0 real changes made)

. replace llkk = 1472 if llkk== 1662
(0 real changes made)

. replace llkk = 1473 if llkk== 1663
(0 real changes made)

. replace llkk = 1487 if llkk== 1580
(0 real changes made)

. replace llkk = 1488 if llkk== 1581
(0 real changes made)

. replace llkk = 1489 if llkk== 1582
(0 real changes made)

. replace llkk = 1490 if llkk== 1583
(0 real changes made)

. replace llkk = 1491 if llkk== 1584
(0 real changes made)

. replace llkk = 1492 if llkk== 1585
(0 real changes made)

. replace llkk = 1493 if llkk== 1680
(0 real changes made)

. replace llkk = 1494 if llkk== 1681
(0 real changes made)

. replace llkk = 1495 if llkk==1682
(0 real changes made)

. replace llkk = 1496 if llkk== 1683
(0 real changes made)

. replace llkk = 1497 if llkk== 1684
(0 real changes made)

. replace llkk = 1498 if llkk== 1685
(0 real changes made)

. replace llkk = 1499 if llkk== 1686
(0 real changes made)

. 
. replace llkk =642  if llkk== 1622 
(0 real changes made)

. replace llkk = 643 if llkk==1623 
(0 real changes made)

. 
. replace llkk =1256      if llkk==       1121
(0 real changes made)

. replace llkk =1257      if llkk==       1137
(0 real changes made)

. replace llkk =1270 if llkk==    1160    
(0 real changes made)

. replace llkk =1272      if llkk==       1162
(0 real changes made)

. replace llkk =1273      if llkk==       1163
(0 real changes made)

. replace llkk =1275 if llkk==    1165    
(0 real changes made)

. replace llkk =1276      if llkk==       1166
(0 real changes made)

. replace llkk =1277 if llkk==    1167    
(0 real changes made)

. replace llkk =1278 if llkk==    1168    
(0 real changes made)

. replace llkk =1290 if llkk==    1180    
(0 real changes made)

. replace llkk =1291      if llkk==       1181
(0 real changes made)

. replace llkk =1292      if llkk==       1182
(0 real changes made)

. replace llkk =1293      if llkk==       1183
(0 real changes made)

. 
end of do-file

. merge m:1 dist llkk year using "$dat\main.dta", keepus(em_sh own_sh highq_sh highed_sh *maj2) nogen keep(match master)
(variable llkk was int, now double to accommodate using data's values)

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                        21,777,019  
    -----------------------------------------

. 
. 
. ren fpmaj2 fmaj2

. ren mpmaj2 gmaj2

. ren kdmaj2 kmaj2

. gen maj=.
(21,777,019 missing values generated)

. replace parti_initial=lower(parti_initial)
(153,941 real changes made)

. foreach p in m c k f  g s v{
  2.         replace maj=0 if parti_initial=="`p'" 
  3. replace maj=1 if parti_initial=="`p'" & `p'maj2==1 
  4.  }
(24,014 real changes made)
(12,347 real changes made)
(21,322 real changes made)
(11,360 real changes made)
(15,346 real changes made)
(7,193 real changes made)
(15,514 real changes made)
(7,595 real changes made)
(8,106 real changes made)
(2,573 real changes made)
(40,836 real changes made)
(19,984 real changes made)
(12,487 real changes made)
(4,530 real changes made)

.   
. 
. 
. reghdfe mover vald, abs(educ year llkk age)
(dropped 2 singleton observations)
(MWFE estimator converged in 7 iterations)

HDFE Linear regression                            Number of obs   = 13,089,236
Absorbing 4 HDFE groups                           F(   1,13088857)=      64.93
                                                  Prob > F        =     0.0000
                                                  R-squared       =     0.1820
                                                  Adj R-squared   =     0.1820
                                                  Within R-sq.    =     0.0000
                                                  Root MSE        =     0.4193

------------------------------------------------------------------------------
       mover | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
        vald |  -.0210154    .002608    -8.06   0.000    -.0261269   -.0159039
       _cons |   .3127691    .000116  2696.05   0.000     .3125417    .3129964
------------------------------------------------------------------------------

Absorbed degrees of freedom:
-----------------------------------------------------+
 Absorbed FE | Categories  - Redundant  = Num. Coefs |
-------------+---------------------------------------|
   educ_year |         7           0           7     |
        year |         2           1           1     |
        llkk |       290           1         289    ?|
         age |        82           1          81    ?|
-----------------------------------------------------+
? = number of redundant parameters may be higher

. reghdfe mover vald if mover_om!=1, abs(educ year llkk age)
(dropped 2 singleton observations)
(MWFE estimator converged in 7 iterations)

HDFE Linear regression                            Number of obs   = 11,681,537
Absorbing 4 HDFE groups                           F(   1,11681158)=       7.97
                                                  Prob > F        =     0.0048
                                                  R-squared       =     0.1351
                                                  Adj R-squared   =     0.1351
                                                  Within R-sq.    =     0.0000
                                                  Root MSE        =     0.3913

------------------------------------------------------------------------------
       mover | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
        vald |   .0070506   .0024976     2.82   0.005     .0021555    .0119458
       _cons |   .2298917   .0001146  2005.76   0.000     .2296671    .2301164
------------------------------------------------------------------------------

Absorbed degrees of freedom:
-----------------------------------------------------+
 Absorbed FE | Categories  - Redundant  = Num. Coefs |
-------------+---------------------------------------|
   educ_year |         7           0           7     |
        year |         2           1           1     |
        llkk |       290           1         289    ?|
         age |        82           1          81    ?|
-----------------------------------------------------+
? = number of redundant parameters may be higher

. sort p_id year

. foreach var in em highq highed own{
  2. 
. gen mover_aff_`var' =mover==1 &   `var'_sh>=`var'_sh[_n+1] ///
> if p_id ==p_id[_n+1]  & `var'_sh!=. & `var'_sh!=.
  3. }
(8,332,302 missing values generated)
(8,332,302 missing values generated)
(8,332,302 missing values generated)
(8,970,806 missing values generated)

. 
. gen age_cat5 = int(age/5)
(503,702 missing values generated)

. gen count=1

. bysort llkk year: egen kom_adbef= total(count)

. gen w_kom_adbef=1/ kom_adbef

. drop count kom_adbef

. foreach var in em highq highed own{
  2. gen moverlim_aff_`var'  =mover_aff_`var'  if mover_om!=1 & mover==1
  3. }
(19,027,276 missing values generated)
(19,027,276 missing values generated)
(19,027,276 missing values generated)
(19,195,739 missing values generated)

. 
. 
. la var mover "Moved during election period"

. la var mover_aff_em "Born in the West"

. la var mover_aff_highq "Top income quartile"

. la var mover_aff_highed "Tertiary educated"

. la var mover_aff_own  "Home owners"

. 
.         foreach out in mover mover_aff_em mover_aff_highq mover_aff_highed  mover_aff_own {
  2. preserve
  3. keep `out' mover_om w_kom_adbef vald vald_first maj llkk age_cat5  educ_year
  4. 
. 
. local s=0
  5. matrix C =J(7,6,.)
  6. 
. 
. local s=`s'+1
  7. areg `out' vald if mover_om!=1 [pw= w_kom_adbef],   abs(llkk)
  8.         matrix C[`s',1]=_b[ vald]
  9.         matrix C[`s',2]=(_b[ vald]+1.96*_se[ vald])
 10.         matrix C[`s',3]=(_b[ vald]-1.96*_se[ vald])
 11.         
. 
. local s=`s'+1
 12. areg `out'  vald_first if mover_om!=1  [pw= w_kom_adbef],   abs(llkk)
 13.         matrix C[`s',1]=_b[vald_first]
 14.         matrix C[`s',2]=(_b[vald_first]+1.96*_se[vald_first])
 15.         matrix C[`s',3]=(_b[vald_first]-1.96*_se[vald_first])
 16.         
. 
. 
. local s=`s'+1
 17. areg `out' maj if vald==1 & mover_om!=1 [pw= w_kom_adbef],   abs(llkk)
 18.         matrix C[`s',1]=_b[maj]
 19.         matrix C[`s',2]=(_b[maj]+1.96*_se[maj])
 20.         matrix C[`s',3]=(_b[maj]-1.96*_se[maj])
 21.         
.         local s=`s'+1
 22. reghdfe `out'  vald if mover_om!=1 [pw= w_kom_adbef],   abs(llkk age_cat5 educ_year)
 23.         matrix C[`s',1]=_b[ vald]
 24.         matrix C[`s',2]=(_b[ vald]+1.96*_se[ vald])
 25.         matrix C[`s',3]=(_b[ vald]-1.96*_se[ vald])
 26. 
.         local s=`s'+1
 27. reghdfe `out'  vald_first if mover_om!=1 [pw= w_kom_adbef],   abs(llkk age_cat5 educ_year)
 28.         matrix C[`s',1]=_b[vald_first]
 29.         matrix C[`s',2]=(_b[vald_first]+1.96*_se[vald_first])
 30.         matrix C[`s',3]=(_b[vald_first]-1.96*_se[vald_first])
 31. 
.         
. local s=`s'+1
 32. reghdfe `out'  maj if vald==1 & mover_om!=1  [pw= w_kom_adbef],   abs(llkk age_cat5 educ_year)
 33.         matrix C[`s',1]=_b[maj]
 34.         matrix C[`s',2]=(_b[maj]+1.96*_se[maj])
 35.         matrix C[`s',3]=(_b[maj]-1.96*_se[maj])
 36.         
. 
. svmat C
 37. sum C*
 38.  ren C1 est
 39.  ren C2 ci_low
 40.  ren C3 ci_high
 41. gen pos_b =4.2-_n if _n<4
 42. gen pos_c =6.8-_n if _n>3 & _n<7
 43. drop if _n>7
 44. 
. loc y  ylabel(  3 `" "Elected vs." "population" "'  ///
>         2  `" "First time elected" "vs. population" "' ///
>         1 `" "Majority vs." "opposition politicians" "', labsize(large) angle(horizontal))
 45. 
. if "`out'"!="mover" & "`out'"!="mover_aff_em" loc y ylabel(3 " " 2 " " 1 " ")
 46. loc g graphregion(margin(0 0 0 0)) 
 47. if "`out'"!="mover" &  "`out'"!="mover_aff_em" loc g graphregion(margin(40 0 0 0)) 
 48. loc l legend(order(2 "Municipality fixed effects" 4 "Municipality + Age group + Education level fixed effects") rows(1) size(lar
> ge))
 49. if "`out'"=="mover" loc l legend(off)
 50. twoway (rbar ci_low ci_high pos_b , lwidth(vvthin)  fcolor(black) lcolor(black)  horizontal lpattern(solid) barwidth(.015)) ///
> (scatter pos_b est , msize(large)  msymbol(circle)   mcolor(black)) ///
> (rbar ci_low ci_high pos_c , lwidth(vvthin)  fcolor(gs8) lcolor(gs8)  horizontal lpattern(solid) barwidth(.015)) ///
> (scatter pos_c est , msize(large)  msymbol(circle)   mcolor(gs8)) ///
>         ,xline(0, lcolor(gs1) lpattern(dash))   xlabel(, grid) ytitle(, size(zero))  ///
>    ysize(15) xsize(30) scheme(s1mono)yscale(range(0.5 3.5))  xtitle("")  ///
>          yline(1.5 2.5,  lpattern(shortdash) lcolor(gs8)) title("`:var label `out''",size(large)) `y' `g' `l' 
 51. graph save      move_`out', replace
 52. 
.         restore
 53.         
.         }
(sum of wgt is 487.4959026395027)

Linear regression, absorbing indicators         Number of obs     = 12,000,285
Absorbed variable: llkk                         No. of categories =        290
                                                F(1, 11999994)    =     278.22
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0082
                                                Adj R-squared     =     0.0082
                                                Root MSE          =     0.3937

------------------------------------------------------------------------------
             |               Robust
       mover | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
        vald |  -.0466823   .0027987   -16.68   0.000    -.0521676   -.0411969
       _cons |   .1940137   .0001707  1136.65   0.000     .1936792    .1943482
------------------------------------------------------------------------------
(sum of wgt is 487.4959026395027)

Linear regression, absorbing indicators         Number of obs     = 12,000,285
Absorbed variable: llkk                         No. of categories =        290
                                                F(1, 11999994)    =      90.41
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0082
                                                Adj R-squared     =     0.0081
                                                Root MSE          =     0.3937

------------------------------------------------------------------------------
             |               Robust
       mover | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
  vald_first |   -.032948   .0034652    -9.51   0.000    -.0397397   -.0261563
       _cons |   .1939176   .0001705  1137.43   0.000     .1935835    .1942518
------------------------------------------------------------------------------
(sum of wgt is 1.912072474087867)

Linear regression, absorbing indicators             Number of obs     = 23,343
Absorbed variable: llkk                             No. of categories =    290
                                                    F(1, 23052)       =   0.19
                                                    Prob > F          = 0.6667
                                                    R-squared         = 0.0220
                                                    Adj R-squared     = 0.0097
                                                    Root MSE          = 0.3384

------------------------------------------------------------------------------
             |               Robust
       mover | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         maj |   .0025666     .00596     0.43   0.667    -.0091155    .0142486
       _cons |   .1319926    .004297    30.72   0.000     .1235702     .140415
------------------------------------------------------------------------------
(MWFE estimator converged in 7 iterations)

HDFE Linear regression                            Number of obs   = 11,681,539
Absorbing 3 HDFE groups                           F(   1,11681225)=       0.61
                                                  Prob > F        =     0.4365
                                                  R-squared       =     0.1118
                                                  Adj R-squared   =     0.1118
                                                  Within R-sq.    =     0.0000
                                                  Root MSE        =     0.3726

------------------------------------------------------------------------------
             |               Robust
       mover | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
        vald |   .0021381   .0027475     0.78   0.436    -.0032469    .0075231
       _cons |   .1938495   .0001641  1180.96   0.000     .1935278    .1941712
------------------------------------------------------------------------------

Absorbed degrees of freedom:
-----------------------------------------------------+
 Absorbed FE | Categories  - Redundant  = Num. Coefs |
-------------+---------------------------------------|
        llkk |       290           0         290     |
    age_cat5 |        18           1          17     |
   educ_year |         7           1           6    ?|
-----------------------------------------------------+
? = number of redundant parameters may be higher
(MWFE estimator converged in 7 iterations)

HDFE Linear regression                            Number of obs   = 11,681,539
Absorbing 3 HDFE groups                           F(   1,11681225)=       5.84
                                                  Prob > F        =     0.0157
                                                  R-squared       =     0.1118
                                                  Adj R-squared   =     0.1118
                                                  Within R-sq.    =     0.0000
                                                  Root MSE        =     0.3726

------------------------------------------------------------------------------
             |               Robust
       mover | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
  vald_first |    .008221   .0034031     2.42   0.016      .001551     .014891
       _cons |   .1938334    .000164  1181.95   0.000      .193512    .1941548
------------------------------------------------------------------------------

Absorbed degrees of freedom:
-----------------------------------------------------+
 Absorbed FE | Categories  - Redundant  = Num. Coefs |
-------------+---------------------------------------|
        llkk |       290           0         290     |
    age_cat5 |        18           1          17     |
   educ_year |         7           1           6    ?|
-----------------------------------------------------+
? = number of redundant parameters may be higher
(MWFE estimator converged in 6 iterations)

HDFE Linear regression                            Number of obs   =     23,325
Absorbing 3 HDFE groups                           F(   1,  23014) =       0.18
                                                  Prob > F        =     0.6673
                                                  R-squared       =     0.0661
                                                  Adj R-squared   =     0.0535
                                                  Within R-sq.    =     0.0000
                                                  Root MSE        =     0.3308

------------------------------------------------------------------------------
             |               Robust
       mover | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         maj |   .0025121   .0058448     0.43   0.667    -.0089442    .0139684
       _cons |   .1320519   .0041895    31.52   0.000     .1238402    .1402636
------------------------------------------------------------------------------

Absorbed degrees of freedom:
-----------------------------------------------------+
 Absorbed FE | Categories  - Redundant  = Num. Coefs |
-------------+---------------------------------------|
        llkk |       290           0         290     |
    age_cat5 |        15           1          14     |
   educ_year |         7           1           6    ?|
-----------------------------------------------------+
? = number of redundant parameters may be higher

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
          C1 |          6   -.0106987    .0230785  -.0466823    .008221
          C2 |          6   -.0027871    .0245405  -.0411968   .0148912
          C3 |          6   -.0186104    .0219028  -.0521678   .0015508
          C4 |          0
          C5 |          0
-------------+---------------------------------------------------------
          C6 |          0
(21,777,016 missing values generated)
(21,777,016 missing values generated)
(21,777,012 observations deleted)
file move_mover.gph saved
(sum of wgt is 487.5822304471693)

Linear regression, absorbing indicators         Number of obs     = 12,003,011
Absorbed variable: llkk                         No. of categories =        290
                                                F(1, 12002720)    =     142.84
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0040
                                                Adj R-squared     =     0.0039
                                                Root MSE          =     0.2886

------------------------------------------------------------------------------
             |               Robust
mover_aff_em | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
        vald |  -.0249163   .0020848   -11.95   0.000    -.0290024   -.0208302
       _cons |   .0922095   .0001281   719.81   0.000     .0919584    .0924606
------------------------------------------------------------------------------
(sum of wgt is 487.5822304471693)

Linear regression, absorbing indicators         Number of obs     = 12,003,011
Absorbed variable: llkk                         No. of categories =        290
                                                F(1, 12002720)    =      44.69
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0040
                                                Adj R-squared     =     0.0039
                                                Root MSE          =     0.2886

------------------------------------------------------------------------------
             |               Robust
mover_aff_em | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
  vald_first |  -.0174044   .0026035    -6.69   0.000    -.0225071   -.0123017
       _cons |   .0921577   .0001279   720.34   0.000     .0919069    .0924084
------------------------------------------------------------------------------
(sum of wgt is 1.912072474087867)

Linear regression, absorbing indicators             Number of obs     = 23,343
Absorbed variable: llkk                             No. of categories =    290
                                                    F(1, 23052)       =   1.58
                                                    Prob > F          = 0.2093
                                                    R-squared         = 0.0182
                                                    Adj R-squared     = 0.0059
                                                    Root MSE          = 0.2459

------------------------------------------------------------------------------
             |               Robust
mover_aff_em | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         maj |   .0055409   .0044131     1.26   0.209    -.0031092    .0141909
       _cons |   .0620526   .0030841    20.12   0.000     .0560077    .0680976
------------------------------------------------------------------------------
(MWFE estimator converged in 6 iterations)

HDFE Linear regression                            Number of obs   = 11,682,195
Absorbing 3 HDFE groups                           F(   1,11681881)=       0.00
                                                  Prob > F        =     0.9736
                                                  R-squared       =     0.0473
                                                  Adj R-squared   =     0.0473
                                                  Within R-sq.    =     0.0000
                                                  Root MSE        =     0.2822

------------------------------------------------------------------------------
             |               Robust
mover_aff_em | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
        vald |   .0000685   .0020706     0.03   0.974    -.0039898    .0041269
       _cons |   .0920791   .0001266   727.47   0.000      .091831    .0923272
------------------------------------------------------------------------------

Absorbed degrees of freedom:
-----------------------------------------------------+
 Absorbed FE | Categories  - Redundant  = Num. Coefs |
-------------+---------------------------------------|
        llkk |       290           0         290     |
    age_cat5 |        18           1          17     |
   educ_year |         7           1           6    ?|
-----------------------------------------------------+
? = number of redundant parameters may be higher
(MWFE estimator converged in 6 iterations)

HDFE Linear regression                            Number of obs   = 11,682,195
Absorbing 3 HDFE groups                           F(   1,11681881)=       2.72
                                                  Prob > F        =     0.0989
                                                  R-squared       =     0.0473
                                                  Adj R-squared   =     0.0473
                                                  Within R-sq.    =     0.0000
                                                  Root MSE        =     0.2822

------------------------------------------------------------------------------
             |               Robust
mover_aff_em | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
  vald_first |   .0042696   .0025871     1.65   0.099     -.000801    .0093401
       _cons |   .0920663   .0001265   728.06   0.000     .0918184    .0923141
------------------------------------------------------------------------------

Absorbed degrees of freedom:
-----------------------------------------------------+
 Absorbed FE | Categories  - Redundant  = Num. Coefs |
-------------+---------------------------------------|
        llkk |       290           0         290     |
    age_cat5 |        18           1          17     |
   educ_year |         7           1           6    ?|
-----------------------------------------------------+
? = number of redundant parameters may be higher
(MWFE estimator converged in 6 iterations)

HDFE Linear regression                            Number of obs   =     23,325
Absorbing 3 HDFE groups                           F(   1,  23014) =       1.63
                                                  Prob > F        =     0.2013
                                                  R-squared       =     0.0374
                                                  Adj R-squared   =     0.0245
                                                  Within R-sq.    =     0.0001
                                                  Root MSE        =     0.2437

------------------------------------------------------------------------------
             |               Robust
mover_aff_em | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         maj |   .0055941   .0043777     1.28   0.201    -.0029865    .0141748
       _cons |   .0620503   .0030459    20.37   0.000     .0560802    .0680205
------------------------------------------------------------------------------

Absorbed degrees of freedom:
-----------------------------------------------------+
 Absorbed FE | Categories  - Redundant  = Num. Coefs |
-------------+---------------------------------------|
        llkk |       290           0         290     |
    age_cat5 |        15           1          14     |
   educ_year |         7           1           6    ?|
-----------------------------------------------------+
? = number of redundant parameters may be higher

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
          C1 |          6   -.0044746    .0132954  -.0249163   .0055941
          C2 |          6    .0014501    .0146913  -.0208301   .0141906
          C3 |          6   -.0103993     .012116  -.0290025   -.000801
          C4 |          0
          C5 |          0
-------------+---------------------------------------------------------
          C6 |          0
(21,777,016 missing values generated)
(21,777,016 missing values generated)
(21,777,012 observations deleted)
file move_mover_aff_em.gph saved
(sum of wgt is 487.5822304471693)

Linear regression, absorbing indicators         Number of obs     = 12,003,011
Absorbed variable: llkk                         No. of categories =        290
                                                F(1, 12002720)    =     125.66
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0041
                                                Adj R-squared     =     0.0040
                                                Root MSE          =     0.3020

------------------------------------------------------------------------------
             |               Robust
mover_aff_~q | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
        vald |  -.0249004   .0022213   -11.21   0.000     -.029254   -.0205468
       _cons |   .1020737   .0001324   770.99   0.000     .1018142    .1023332
------------------------------------------------------------------------------
(sum of wgt is 487.5822304471693)

Linear regression, absorbing indicators         Number of obs     = 12,003,011
Absorbed variable: llkk                         No. of categories =        290
                                                F(1, 12002720)    =      36.24
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0040
                                                Adj R-squared     =     0.0040
                                                Root MSE          =     0.3020

------------------------------------------------------------------------------
             |               Robust
mover_aff_~q | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
  vald_first |  -.0167289   .0027789    -6.02   0.000    -.0221755   -.0112824
       _cons |   .1020199   .0001322   771.55   0.000     .1017607    .1022791
------------------------------------------------------------------------------
(sum of wgt is 1.912072474087867)

Linear regression, absorbing indicators             Number of obs     = 23,343
Absorbed variable: llkk                             No. of categories =    290
                                                    F(1, 23052)       =   0.04
                                                    Prob > F          = 0.8322
                                                    R-squared         = 0.0232
                                                    Adj R-squared     = 0.0109
                                                    Root MSE          = 0.2578

------------------------------------------------------------------------------
             |               Robust
mover_aff_~q | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         maj |  -.0009992   .0047172    -0.21   0.832    -.0102452    .0082468
       _cons |   .0730042   .0033899    21.54   0.000     .0663597    .0796487
------------------------------------------------------------------------------
(MWFE estimator converged in 6 iterations)

HDFE Linear regression                            Number of obs   = 11,682,195
Absorbing 3 HDFE groups                           F(   1,11681881)=       0.58
                                                  Prob > F        =     0.4460
                                                  R-squared       =     0.0512
                                                  Adj R-squared   =     0.0512
                                                  Within R-sq.    =     0.0000
                                                  Root MSE        =     0.2948

------------------------------------------------------------------------------
             |               Robust
mover_aff_~q | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
        vald |   .0016775   .0022012     0.76   0.446    -.0026367    .0059917
       _cons |   .1019654   .0001306   780.62   0.000     .1017094    .1022214
------------------------------------------------------------------------------

Absorbed degrees of freedom:
-----------------------------------------------------+
 Absorbed FE | Categories  - Redundant  = Num. Coefs |
-------------+---------------------------------------|
        llkk |       290           0         290     |
    age_cat5 |        18           1          17     |
   educ_year |         7           1           6    ?|
-----------------------------------------------------+
? = number of redundant parameters may be higher
(MWFE estimator converged in 6 iterations)

HDFE Linear regression                            Number of obs   = 11,682,195
Absorbing 3 HDFE groups                           F(   1,11681881)=       5.15
                                                  Prob > F        =     0.0232
                                                  R-squared       =     0.0512
                                                  Adj R-squared   =     0.0512
                                                  Within R-sq.    =     0.0000
                                                  Root MSE        =     0.2948

------------------------------------------------------------------------------
             |               Robust
mover_aff_~q | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
  vald_first |   .0062505   .0027537     2.27   0.023     .0008533    .0116476
       _cons |   .1019534   .0001305   781.25   0.000     .1016976    .1022092
------------------------------------------------------------------------------

Absorbed degrees of freedom:
-----------------------------------------------------+
 Absorbed FE | Categories  - Redundant  = Num. Coefs |
-------------+---------------------------------------|
        llkk |       290           0         290     |
    age_cat5 |        18           1          17     |
   educ_year |         7           1           6    ?|
-----------------------------------------------------+
? = number of redundant parameters may be higher
(MWFE estimator converged in 6 iterations)

HDFE Linear regression                            Number of obs   =     23,325
Absorbing 3 HDFE groups                           F(   1,  23014) =       0.06
                                                  Prob > F        =     0.7991
                                                  R-squared       =     0.0439
                                                  Adj R-squared   =     0.0310
                                                  Within R-sq.    =     0.0000
                                                  Root MSE        =     0.2552

------------------------------------------------------------------------------
             |               Robust
mover_aff_~q | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         maj |  -.0011893    .004672    -0.25   0.799    -.0103467    .0079681
       _cons |    .073115    .003343    21.87   0.000     .0665624    .0796675
------------------------------------------------------------------------------

Absorbed degrees of freedom:
-----------------------------------------------------+
 Absorbed FE | Categories  - Redundant  = Num. Coefs |
-------------+---------------------------------------|
        llkk |       290           0         290     |
    age_cat5 |        15           1          14     |
   educ_year |         7           1           6    ?|
-----------------------------------------------------+
? = number of redundant parameters may be higher

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
          C1 |          6   -.0059816    .0120789  -.0249004   .0062505
          C2 |          6    .0003375    .0130525  -.0205467   .0116477
          C3 |          6   -.0123008    .0114838  -.0292541   .0008532
          C4 |          0
          C5 |          0
-------------+---------------------------------------------------------
          C6 |          0
(21,777,016 missing values generated)
(21,777,016 missing values generated)
(21,777,012 observations deleted)
file move_mover_aff_highq.gph saved
(sum of wgt is 487.5822304471693)

Linear regression, absorbing indicators         Number of obs     = 12,003,011
Absorbed variable: llkk                         No. of categories =        290
                                                F(1, 12002720)    =     173.14
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0046
                                                Adj R-squared     =     0.0046
                                                Root MSE          =     0.3031

------------------------------------------------------------------------------
             |               Robust
mover_aff_~d | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
        vald |  -.0279933   .0021274   -13.16   0.000     -.032163   -.0238236
       _cons |   .1030085   .0001326   777.06   0.000     .1027487    .1032684
------------------------------------------------------------------------------
(sum of wgt is 487.5822304471693)

Linear regression, absorbing indicators         Number of obs     = 12,003,011
Absorbed variable: llkk                         No. of categories =        290
                                                F(1, 12002720)    =      59.60
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0046
                                                Adj R-squared     =     0.0045
                                                Root MSE          =     0.3031

------------------------------------------------------------------------------
             |               Robust
mover_aff_~d | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
  vald_first |  -.0204928   .0026545    -7.72   0.000    -.0256955   -.0152901
       _cons |   .1029532   .0001324   777.63   0.000     .1026937    .1032126
------------------------------------------------------------------------------
(sum of wgt is 1.912072474087867)

Linear regression, absorbing indicators             Number of obs     = 23,343
Absorbed variable: llkk                             No. of categories =    290
                                                    F(1, 23052)       =   0.03
                                                    Prob > F          = 0.8655
                                                    R-squared         = 0.0199
                                                    Adj R-squared     = 0.0076
                                                    Root MSE          = 0.2533

------------------------------------------------------------------------------
             |               Robust
mover_aff_~d | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         maj |  -.0007619   .0044984    -0.17   0.866     -.009579    .0080552
       _cons |   .0699134    .003288    21.26   0.000     .0634687    .0763582
------------------------------------------------------------------------------
(MWFE estimator converged in 7 iterations)

HDFE Linear regression                            Number of obs   = 11,682,195
Absorbing 3 HDFE groups                           F(   1,11681881)=       0.73
                                                  Prob > F        =     0.3922
                                                  R-squared       =     0.0535
                                                  Adj R-squared   =     0.0534
                                                  Within R-sq.    =     0.0000
                                                  Root MSE        =     0.2956

------------------------------------------------------------------------------
             |               Robust
mover_aff_~d | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
        vald |   -.001804   .0021083    -0.86   0.392    -.0059362    .0023282
       _cons |   .1028779   .0001307   787.23   0.000     .1026218    .1031341
------------------------------------------------------------------------------

Absorbed degrees of freedom:
-----------------------------------------------------+
 Absorbed FE | Categories  - Redundant  = Num. Coefs |
-------------+---------------------------------------|
        llkk |       290           0         290     |
    age_cat5 |        18           1          17     |
   educ_year |         7           1           6    ?|
-----------------------------------------------------+
? = number of redundant parameters may be higher
(MWFE estimator converged in 7 iterations)

HDFE Linear regression                            Number of obs   = 11,682,195
Absorbing 3 HDFE groups                           F(   1,11681881)=       0.48
                                                  Prob > F        =     0.4882
                                                  R-squared       =     0.0535
                                                  Adj R-squared   =     0.0534
                                                  Within R-sq.    =     0.0000
                                                  Root MSE        =     0.2956

------------------------------------------------------------------------------
             |               Robust
mover_aff_~d | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
  vald_first |   .0018237   .0026309     0.69   0.488    -.0033329    .0069802
       _cons |   .1028647   .0001306   787.88   0.000     .1026088    .1031205
------------------------------------------------------------------------------

Absorbed degrees of freedom:
-----------------------------------------------------+
 Absorbed FE | Categories  - Redundant  = Num. Coefs |
-------------+---------------------------------------|
        llkk |       290           0         290     |
    age_cat5 |        18           1          17     |
   educ_year |         7           1           6    ?|
-----------------------------------------------------+
? = number of redundant parameters may be higher
(MWFE estimator converged in 6 iterations)

HDFE Linear regression                            Number of obs   =     23,325
Absorbing 3 HDFE groups                           F(   1,  23014) =       0.05
                                                  Prob > F        =     0.8272
                                                  R-squared       =     0.0427
                                                  Adj R-squared   =     0.0298
                                                  Within R-sq.    =     0.0000
                                                  Root MSE        =     0.2506

------------------------------------------------------------------------------
             |               Robust
mover_aff_~d | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         maj |  -.0009673   .0044308    -0.22   0.827    -.0096521    .0077174
       _cons |   .0700731   .0032392    21.63   0.000      .063724    .0764221
------------------------------------------------------------------------------

Absorbed degrees of freedom:
-----------------------------------------------------+
 Absorbed FE | Categories  - Redundant  = Num. Coefs |
-------------+---------------------------------------|
        llkk |       290           0         290     |
    age_cat5 |        15           1          14     |
   educ_year |         7           1           6    ?|
-----------------------------------------------------+
? = number of redundant parameters may be higher

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
          C1 |          6    -.008366    .0125837  -.0279933   .0018237
          C2 |          6   -.0023388     .013763  -.0238235   .0080549
          C3 |          6   -.0143931    .0116878  -.0321631   -.003333
          C4 |          0
          C5 |          0
-------------+---------------------------------------------------------
          C6 |          0
(21,777,016 missing values generated)
(21,777,016 missing values generated)
(21,777,012 observations deleted)
file move_mover_aff_highed.gph saved
(sum of wgt is 484.2062983433033)

Linear regression, absorbing indicators         Number of obs     = 11,457,268
Absorbed variable: llkk                         No. of categories =        290
                                                F(1, 11456977)    =     143.42
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0041
                                                Adj R-squared     =     0.0040
                                                Root MSE          =     0.3024

------------------------------------------------------------------------------
             |               Robust
mover_aff_~n | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
        vald |  -.0258849   .0021615   -11.98   0.000    -.0301212   -.0216485
       _cons |   .1023815   .0001334   767.72   0.000     .1021202    .1026429
------------------------------------------------------------------------------
(sum of wgt is 484.2062983433033)

Linear regression, absorbing indicators         Number of obs     = 11,457,268
Absorbed variable: llkk                         No. of categories =        290
                                                F(1, 11456977)    =      51.42
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0040
                                                Adj R-squared     =     0.0040
                                                Root MSE          =     0.3024

------------------------------------------------------------------------------
             |               Robust
mover_aff_~n | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
  vald_first |    -.01922   .0026802    -7.17   0.000    -.0244732   -.0139669
       _cons |   .1023309   .0001332   768.30   0.000     .1020698    .1025919
------------------------------------------------------------------------------
(sum of wgt is 1.90849742882377)

Linear regression, absorbing indicators             Number of obs     = 23,101
Absorbed variable: llkk                             No. of categories =    290
                                                    F(1, 22810)       =   0.46
                                                    Prob > F          = 0.4987
                                                    R-squared         = 0.0160
                                                    Adj R-squared     = 0.0035
                                                    Root MSE          = 0.2579

------------------------------------------------------------------------------
             |               Robust
mover_aff_~n | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         maj |  -.0030906   .0045681    -0.68   0.499    -.0120443    .0058631
       _cons |   .0735933   .0033805    21.77   0.000     .0669672    .0802193
------------------------------------------------------------------------------
(MWFE estimator converged in 6 iterations)

HDFE Linear regression                            Number of obs   = 11,163,377
Absorbing 3 HDFE groups                           F(   1,11163063)=       0.09
                                                  Prob > F        =     0.7644
                                                  R-squared       =     0.0509
                                                  Adj R-squared   =     0.0509
                                                  Within R-sq.    =     0.0000
                                                  Root MSE        =     0.2952

------------------------------------------------------------------------------
             |               Robust
mover_aff_~n | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
        vald |   .0006405   .0021375     0.30   0.764    -.0035489    .0048298
       _cons |   .1022503   .0001316   777.26   0.000     .1019924    .1025081
------------------------------------------------------------------------------

Absorbed degrees of freedom:
-----------------------------------------------------+
 Absorbed FE | Categories  - Redundant  = Num. Coefs |
-------------+---------------------------------------|
        llkk |       290           0         290     |
    age_cat5 |        18           1          17     |
   educ_year |         7           1           6    ?|
-----------------------------------------------------+
? = number of redundant parameters may be higher
(MWFE estimator converged in 6 iterations)

HDFE Linear regression                            Number of obs   = 11,163,377
Absorbing 3 HDFE groups                           F(   1,11163063)=       1.82
                                                  Prob > F        =     0.1770
                                                  R-squared       =     0.0509
                                                  Adj R-squared   =     0.0509
                                                  Within R-sq.    =     0.0000
                                                  Root MSE        =     0.2952

------------------------------------------------------------------------------
             |               Robust
mover_aff_~n | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
  vald_first |   .0035752   .0026481     1.35   0.177    -.0016151    .0087654
       _cons |    .102242   .0001314   777.91   0.000     .1019844    .1024996
------------------------------------------------------------------------------

Absorbed degrees of freedom:
-----------------------------------------------------+
 Absorbed FE | Categories  - Redundant  = Num. Coefs |
-------------+---------------------------------------|
        llkk |       290           0         290     |
    age_cat5 |        18           1          17     |
   educ_year |         7           1           6    ?|
-----------------------------------------------------+
? = number of redundant parameters may be higher
(dropped 1 singleton observations)
(MWFE estimator converged in 6 iterations)

HDFE Linear regression                            Number of obs   =     23,082
Absorbing 3 HDFE groups                           F(   1,  22772) =       0.53
                                                  Prob > F        =     0.4649
                                                  R-squared       =     0.0395
                                                  Adj R-squared   =     0.0265
                                                  Within R-sq.    =     0.0000
                                                  Root MSE        =     0.2549

------------------------------------------------------------------------------
             |               Robust
mover_aff_~n | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         maj |  -.0033064   .0045241    -0.73   0.465    -.0121739    .0055611
       _cons |   .0737032   .0033329    22.11   0.000     .0671705     .080236
------------------------------------------------------------------------------

Absorbed degrees of freedom:
-----------------------------------------------------+
 Absorbed FE | Categories  - Redundant  = Num. Coefs |
-------------+---------------------------------------|
        llkk |       290           0         290     |
    age_cat5 |        14           1          13     |
   educ_year |         7           1           6    ?|
-----------------------------------------------------+
? = number of redundant parameters may be higher

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
          C1 |          6    -.007881    .0118359  -.0258849   .0035752
          C2 |          6    -.001766    .0127316  -.0216484   .0087655
          C3 |          6    -.013996     .011308  -.0301213  -.0016152
          C4 |          0
          C5 |          0
-------------+---------------------------------------------------------
          C6 |          0
(21,777,016 missing values generated)
(21,777,016 missing values generated)
(21,777,012 observations deleted)
file move_mover_aff_own.gph saved

.         
. loc set         scheme(s1mono)   ysize(5) xsize(7) iscale(1)

. graph combine  move_mover.gph ,   `set' 

. graph export "$res\figA41a.$e",  replace
file \\micro.intra\Projekt\P0624$\P0624_Gem\Politisk Geografi\Results\figA41a.eps saved as EPS format

. 
. grc1leg  move_mover_aff_em.gph  move_mover_aff_highq.gph  move_mover_aff_highed.gph  move_mover_aff_own.gph ///
> ,  col(4) `set' xcommon b1("Estimated relationship", size(vlarge)) t1("Has moved to neighborhood with more:", size(huge)) ring(2)

. graph display,  ysize(5) xsize(20)      

. graph export "$res\figA41b.$e",  replace         
file \\micro.intra\Projekt\P0624$\P0624_Gem\Politisk Geografi\Results\figA41b.eps saved as EPS format

.         
. *check numbers
. sum mover [aw= w_kom_adbef]  if mover_om!=1  // 0.19

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
       mover |12000285  487.495903    .1938184   .3952883          0          1

. sum mover [aw= w_kom_adbef]  if vald==1 &  mover_om!=1 // 0.13

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
       mover |  24,710  2.03908443    .1342582   .3409364          0          1

. sum mover [aw= w_kom_adbef]  if vald_first==1 &  mover_om!=1 // 0.15

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
       mover |  17,672  1.46750765    .1478687   .3549798          0          1

. 
. ************************************************
. ** Figur för k-neighborhoods (fig A5:1 A5:2)****
. ************************************************
. 
. **** Advantage: all ***
. use "$dat\temp\Highq_all.dta", clear

. sort id k

. merge 1:1 id k using "$dat\temp\Highed_all.dta"

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                                 5  (_merge==3)
    -----------------------------------------

. drop _merge

. sort id k

. merge 1:1 id k using "$dat\temp\Ethnic_majority_all.dta"

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                                 5  (_merge==3)
    -----------------------------------------

. drop _merge

. merge 1:1 id k using "$dat\temp\precinct.dta"
(variable id was float, now double to accommodate using data's values)
(variable Highq was float, now double to accommodate using data's values)
(variable Highed was float, now double to accommodate using data's values)
(variable Ethnic_majority was float, now double to accommodate using data's values)

    Result                      Number of obs
    -----------------------------------------
    Not matched                             6
        from master                         5  (_merge==1)
        from using                          1  (_merge==2)

    Matched                                 0  (_merge==3)
    -----------------------------------------

. drop _merge

. drop if k==100
(1 observation deleted)

. drop if k==2000
(1 observation deleted)

. 
. la var Highq "Top income quartile"

. la var Ethnic_majority "Born in the West"

. la var Highed "Tertiary educated"

. twoway (scatter Highq Highed Ethnic_majority k, msize(medlarge) msymbol(circle) mcolor(black) ),         xtitle("K-nearest neighbor
> s", size(medium))  xlabel(50 500 1000 1500 "Precinct")  ytitle("politicians/non-politicians", size(medium)) l1title(Ratio) scheme(s
> 1mono)  ylabel(1.00(0.05)1.15, grid) title("All politicians") ///
> xscale(range(20 1600))legend(rows(1) size(large))

. 
. graph save k_nearest_all, replace
file k_nearest_all.gph saved

. 
. **** Advantage: left ***
. use "$dat\temp\Highq_left.dta", clear

. sort id k

. merge 1:1 id k using "$dat\temp\Highed_left.dta"

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                                 5  (_merge==3)
    -----------------------------------------

. drop _merge

. sort id k

. merge 1:1 id k using "$dat\temp\Ethnic_majority_left.dta"

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                                 5  (_merge==3)
    -----------------------------------------

. drop _merge

. merge 1:1 id k using "$dat\temp\precinct_left.dta"
(variable id was float, now double to accommodate using data's values)
(variable Highq was float, now double to accommodate using data's values)
(variable Highed was float, now double to accommodate using data's values)
(variable Ethnic_majority was float, now double to accommodate using data's values)

    Result                      Number of obs
    -----------------------------------------
    Not matched                             6
        from master                         5  (_merge==1)
        from using                          1  (_merge==2)

    Matched                                 0  (_merge==3)
    -----------------------------------------

. drop _merge

. drop if k==100
(1 observation deleted)

. drop if k==2000
(1 observation deleted)

. 
. la var Highq "Top income quartile"

. la var Ethnic_majority "Born in the West"

. la var Highed "Tertiary educated"

. twoway (scatter Highq Highed Ethnic_majority k, msize(medlarge) msymbol(circle) mcolor(black)), xlabel(50 500 1000 1500 "Precinct")
>  ytitle("") scheme(s1mono)   xtitle("K-nearest neighbors", size(medium)) ylabel(1 " " 1.05 " " 1.10 " "  1.15 " ", grid)  xscale(ra
> nge(20 1600)) title(Left bloc politicians) 

. graph save  k_nearest_left, replace
file k_nearest_left.gph saved

. 
. 
. **** Advantage: right ***
. use "$dat\temp\Highq_right.dta", clear

. sort id k

. merge 1:1 id k using "$dat\temp\Highed_right.dta"

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                                 5  (_merge==3)
    -----------------------------------------

. drop _merge

. sort id k

. merge 1:1 id k using "$dat\temp\Ethnic_majority_right.dta"

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                                 5  (_merge==3)
    -----------------------------------------

. drop _merge

. merge 1:1 id k using "$dat\temp\precinct_right.dta"
(variable id was float, now double to accommodate using data's values)
(variable Highq was float, now double to accommodate using data's values)
(variable Highed was float, now double to accommodate using data's values)
(variable Ethnic_majority was float, now double to accommodate using data's values)

    Result                      Number of obs
    -----------------------------------------
    Not matched                             6
        from master                         5  (_merge==1)
        from using                          1  (_merge==2)

    Matched                                 0  (_merge==3)
    -----------------------------------------

. drop _merge

. drop if k==100
(1 observation deleted)

. drop if k==2000
(1 observation deleted)

. 
. la var Highq "Top income quartile"

. la var Ethnic_majority "Born in the West"

. la var Highed "Tertiary educated"

. twoway (scatter Highq Highed Ethnic_majority k, msize(medlarge) msymbol(circle) mcolor(black)), xlabel(50 500 1000 1500 "Precinct")
>  ytitle("") scheme(s1mono) xtitle("K-nearest neighbors", size(medium))  ylabel(1 " " 1.05 " " 1.10 " " 1.15 " ", grid)  xscale(rang
> e(20 1600)) title(Center-right bloc politicians) 

. graph save k_nearest_right, replace
file k_nearest_right.gph saved

. 
. 
. **** Disdvantage: all ***
. use "$dat\temp\Lowq.dta", clear

. sort id k

. merge 1:1 id k using "$dat\temp\Lowed.dta"

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                                 5  (_merge==3)
    -----------------------------------------

. drop _merge

. sort id k

. merge 1:1 id k using "$dat\temp\Ethnic_minority.dta"

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                                 5  (_merge==3)
    -----------------------------------------

. drop _merge

. merge 1:1 id k using "$dat\temp\precinct_disadvantaged.dta"
(variable id was float, now double to accommodate using data's values)
(variable Lowq was float, now double to accommodate using data's values)
(variable Lowed was float, now double to accommodate using data's values)
(variable Ethnic_minority was float, now double to accommodate using data's values)

    Result                      Number of obs
    -----------------------------------------
    Not matched                             6
        from master                         5  (_merge==1)
        from using                          1  (_merge==2)

    Matched                                 0  (_merge==3)
    -----------------------------------------

. drop _merge

. drop if k==100
(1 observation deleted)

. drop if k==2000
(1 observation deleted)

. scatter Lowq Lowed Ethnic_minority k

. 
. la var Lowq "Not top income quartile"

. la var Ethnic_minority "Not born in the West"

. la var Lowed "Not tertiary educated"

. twoway (scatter Lowq Lowed Ethnic_minority k, msize(medlarge) msymbol(circle) mcolor(black)),   xlabel(50 500 1000 1500 "Precinct")
>   ytitle("politicians/non-politicians", size(medium)) l1title(Ratio) scheme(s1mono) xtitle("K-nearest neighbors", size(medium))  ti
> tle("All politicians")  ylabel(0.70(0.1)1.0, grid) xscale(range(20 1600)) legend(rows(1) size(large)) 

. graph save k_nearest_disadvantaged, replace
file k_nearest_disadvantaged.gph saved

. 
. **** Disdvantage: left ***
. use "$dat\temp\Lowq_left.dta", clear

. sort id k

. merge 1:1 id k using "$dat\temp\Lowed_left.dta"

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                                 5  (_merge==3)
    -----------------------------------------

. drop _merge

. sort id k

. merge 1:1 id k using "$dat\temp\Ethnic_minority_left.dta"

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                                 5  (_merge==3)
    -----------------------------------------

. drop _merge

. merge 1:1 id k using "$dat\temp\precinct_disadvantaged_left.dta"
(variable id was float, now double to accommodate using data's values)
(variable Lowq was float, now double to accommodate using data's values)
(variable Lowed was float, now double to accommodate using data's values)
(variable Ethnic_minority was float, now double to accommodate using data's values)

    Result                      Number of obs
    -----------------------------------------
    Not matched                             6
        from master                         5  (_merge==1)
        from using                          1  (_merge==2)

    Matched                                 0  (_merge==3)
    -----------------------------------------

. drop _merge

. drop if k==100
(1 observation deleted)

. drop if k==2000
(1 observation deleted)

. scatter Lowq Lowed Ethnic_minority k

. 
. la var Lowq "Not top income quartile"

. la var Ethnic_minority "Not born in the West"

. la var Lowed "Not tertiary educated"

. twoway (scatter Lowq Lowed Ethnic_minority k, msize(medlarge) msymbol(circle) mcolor(black)),   xlabel(50 500 1000 1500 "Precinct")
>  ytitle(" ") scheme(s1mono) xtitle("K-nearest neighbors", size(medium))   ylabel(0.7 " " 0.8 " " 0.9 " " 1.00 " ", grid) xscale(ran
> ge(20 1600)) title("Left bloc politicians")

. graph save k_nearest_disadvantaged_left, replace
file k_nearest_disadvantaged_left.gph saved

. 
. 
. **** Disdvantage: right ***
. use "$dat\temp\Lowq_right.dta", clear

. sort id k

. merge 1:1 id k using "$dat\temp\Lowed_right.dta"

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                                 5  (_merge==3)
    -----------------------------------------

. drop _merge

. sort id k

. merge 1:1 id k using "$dat\temp\Ethnic_minority_right.dta"

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                                 5  (_merge==3)
    -----------------------------------------

. drop _merge

. merge 1:1 id k using "$dat\temp\precinct_disadvantaged_right.dta"
(variable id was float, now double to accommodate using data's values)
(variable Lowq was float, now double to accommodate using data's values)
(variable Lowed was float, now double to accommodate using data's values)
(variable Ethnic_minority was float, now double to accommodate using data's values)

    Result                      Number of obs
    -----------------------------------------
    Not matched                             6
        from master                         5  (_merge==1)
        from using                          1  (_merge==2)

    Matched                                 0  (_merge==3)
    -----------------------------------------

. drop _merge

. drop if k==100
(1 observation deleted)

. drop if k==2000
(1 observation deleted)

. scatter Lowq Lowed Ethnic_minority k

. 
. la var Lowq "Not top income quartile"

. la var Ethnic_minority "Not born in the West"

. la var Lowed "Not tertiary educated"

. twoway (scatter Lowq Lowed Ethnic_minority k, msize(medlarge) msymbol(circle) mcolor(black)),   xlabel(50 500 1000 1500 "Precinct")
>  ytitle(" ") scheme(s1mono) xtitle("K-nearest neighbors", size(medium))  title("Center-right bloc politicians") ylabel(0.7 " " 0.8 
> " "  0.9 " " 1.00 " ", grid) xscale(range(20 1600))  graphregion(margin(0 5 2 2)) 

. graph save k_nearest_disadvantaged_right, replace
file k_nearest_disadvantaged_right.gph saved

. 
. ********************************************
. ********* combine figures  A5.1 A5.2  ******
. ********************************************
. 
. grc1leg k_nearest_all.gph k_nearest_left.gph k_nearest_right.gph, col(3) iscale(1.25)  ysize(15) xsize(50)        scheme(s1mono)

. graph display,  ysize(15) xsize(50)

. graph export "$res\figA51.$e",  replace
file \\micro.intra\Projekt\P0624$\P0624_Gem\Politisk Geografi\Results\figA51.eps saved as EPS format

. 
. grc1leg k_nearest_disadvantaged.gph k_nearest_disadvantaged_left.gph k_nearest_disadvantaged_right.gph, col(3) iscale(1.25)  ysize(
> 15) xsize(50)          scheme(s1mono)

. graph display,  ysize(15) xsize(50)

. graph export "$res\figA52.$e",  replace
file \\micro.intra\Projekt\P0624$\P0624_Gem\Politisk Geografi\Results\figA52.eps saved as EPS format

. 
. 
. ************************************************************************
. *** For replication of results in paper: Oster-results (Table A8.1)  ***
. ************************************************************************
. 
. use "$dat\main.dta", clear

. 
. gl pop_cont diff_highq_bef diff_highed_bef diff_own_bef diff_em_bef  diff_retired_bef diff_child_7_15_bef

. gl turnout_cont diff_voters_bef

. gl ecgeo_cont diff_b_area_multi diff_b_area_single  pop_dens_mdiff floorarea_pc_mdiff 

.  
. reg diff_area_multi_bef diff_maj_min $pop_cont $turnout_cont $ecgeo_cont diff_area_multi_lag_bef [pw=w_dist_count] if close==1
(sum of wgt is 257.881974358931)

Linear regression                               Number of obs     =      8,298
                                                F(13, 8284)       =      12.66
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1828
                                                Root MSE          =     .17608

-----------------------------------------------------------------------------------------
                        |               Robust
    diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
           diff_maj_min |  -.1141684   .0541445    -2.11   0.035    -.2203051   -.0080316
         diff_highq_bef |   1.202066   .4401855     2.73   0.006      .339192     2.06494
        diff_highed_bef |  -.2812484   .3715951    -0.76   0.449    -1.009668    .4471711
           diff_own_bef |  -.1730487   .1036365    -1.67   0.095    -.3762022    .0301048
            diff_em_bef |   .0078492   .1562295     0.05   0.960    -.2983997     .314098
       diff_retired_bef |   .1521164   .3391021     0.45   0.654    -.5126085    .8168414
    diff_child_7_15_bef |  -.6405997   .4579548    -1.40   0.162    -1.538306    .2571064
        diff_voters_bef |   .1810978   .4220677     0.43   0.668    -.6462605    1.008456
  diff_b_area_multi_bef |   .8910845   .1453318     6.13   0.000     .6061977    1.175971
 diff_b_area_single_bef |   .3081398   .1787252     1.72   0.085    -.0422063    .6584859
         pop_dens_mdiff |  -.0076988   .0253117    -0.30   0.761     -.057316    .0419184
     floorarea_pc_mdiff |  -.0004148   .0002188    -1.90   0.058    -.0008438    .0000141
diff_area_multi_lag_bef |   .1460165    .044379     3.29   0.001     .0590225    .2330106
                  _cons |   .0000855   .0034722     0.02   0.980    -.0067209    .0068919
-----------------------------------------------------------------------------------------

. * R2= 0.183  ; 1.3*R2=0.238  ; 1.6*R2=0.293
. psacalc beta diff_maj_min, rmax(0.238) //B uncontrolled: -0.174 (0.006) B controlled: -0.132 (0.195) Bound: -0.122 

                 ---- Treatment Effect Estimate ----
             |     Estimate           Sq. difference      Bias changes
             |                      from controlled beta    direction
-------------+----------------------------------------------------------------
Beta         |      -0.10595             .0000676             
Alt. sol. 1  |     -32.97193                 1080             Yes
Alt. sol. 2  |                                                
-------------+----------------------------------------------------------------

                 ---- Inputs from Regressions ----
             |      Coeff.            R-Squared
-------------+----------------------------------------------------------------
Uncontrolled |       -0.14083         0.004
Controlled   |       -0.11417         0.183
-------------+----------------------------------------------------------------

                 ---- Other Inputs ----
-------------+----------------------------------------------------------------
R_max        |   0.238
Delta        |   1.000
Unr. Controls|   
-------------+----------------------------------------------------------------

. psacalc beta diff_maj_min, rmax(0.293) //Bound: -0.109

                 ---- Treatment Effect Estimate ----
             |     Estimate           Sq. difference      Bias changes
             |                      from controlled beta    direction
-------------+----------------------------------------------------------------
Beta         |      -0.09775              .000269             
Alt. sol. 1  |     -32.97002                 1080             Yes
Alt. sol. 2  |                                                
-------------+----------------------------------------------------------------

                 ---- Inputs from Regressions ----
             |      Coeff.            R-Squared
-------------+----------------------------------------------------------------
Uncontrolled |       -0.14083         0.004
Controlled   |       -0.11417         0.183
-------------+----------------------------------------------------------------

                 ---- Other Inputs ----
-------------+----------------------------------------------------------------
R_max        |   0.293
Delta        |   1.000
Unr. Controls|   
-------------+----------------------------------------------------------------

. 
. reg diff_area_multi_bef diff_maj_min $pop_cont $turnout_cont $ecgeo_cont   diff_area_multi_lag_bef [pw=w_dist_count] if cl_bl==1
(sum of wgt is 176.9669042622907)

Linear regression                               Number of obs     =      5,954
                                                F(13, 5940)       =      10.24
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1948
                                                Root MSE          =     .17218

-----------------------------------------------------------------------------------------
                        |               Robust
    diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
           diff_maj_min |  -.1315321   .0606846    -2.17   0.030    -.2504959   -.0125683
         diff_highq_bef |   1.496949   .5366044     2.79   0.005     .4450088    2.548888
        diff_highed_bef |   .1676078   .4376895     0.38   0.702    -.6904227    1.025638
           diff_own_bef |  -.1223394   .1237693    -0.99   0.323    -.3649723    .1202935
            diff_em_bef |   .0154001   .1798479     0.09   0.932    -.3371672    .3679673
       diff_retired_bef |   .0787559   .4060655     0.19   0.846      -.71728    .8747918
    diff_child_7_15_bef |  -.5003893   .5324913    -0.94   0.347    -1.544266    .5434871
        diff_voters_bef |  -.3604125   .5168459    -0.70   0.486    -1.373618    .6527933
  diff_b_area_multi_bef |   1.016347   .1558484     6.52   0.000      .710828    1.321867
 diff_b_area_single_bef |   .4433438   .2029732     2.18   0.029     .0454426     .841245
         pop_dens_mdiff |  -.0100834   .0199156    -0.51   0.613    -.0491253    .0289584
     floorarea_pc_mdiff |  -.0005445   .0002458    -2.22   0.027    -.0010264   -.0000626
diff_area_multi_lag_bef |   .1048847      .0527     1.99   0.047     .0015736    .2081958
                  _cons |   .0001189   .0041117     0.03   0.977    -.0079415    .0081792
-----------------------------------------------------------------------------------------

. * R2= 0.195  ; 1.3*R2=0.254  ; 1.6*R2=0.312
. psacalc beta diff_maj_min, rmax(0.254) //B uncontrolled: -0.174 (0.006) B controlled: -0.132 (0.195) Bound: -0.118 

                 ---- Treatment Effect Estimate ----
             |     Estimate           Sq. difference      Bias changes
             |                      from controlled beta    direction
-------------+----------------------------------------------------------------
Beta         |      -0.11821              .000177             
Alt. sol. 1  |     -20.92385                  432             Yes
Alt. sol. 2  |                                                
-------------+----------------------------------------------------------------

                 ---- Inputs from Regressions ----
             |      Coeff.            R-Squared
-------------+----------------------------------------------------------------
Uncontrolled |       -0.17392         0.006
Controlled   |       -0.13153         0.195
-------------+----------------------------------------------------------------

                 ---- Other Inputs ----
-------------+----------------------------------------------------------------
R_max        |   0.254
Delta        |   1.000
Unr. Controls|   
-------------+----------------------------------------------------------------

. psacalc beta diff_maj_min, rmax(0.312) //Bound: -0.105

                 ---- Treatment Effect Estimate ----
             |     Estimate           Sq. difference      Bias changes
             |                      from controlled beta    direction
-------------+----------------------------------------------------------------
Beta         |      -0.10518              .000695             
Alt. sol. 1  |     -20.92494                  432             Yes
Alt. sol. 2  |                                                
-------------+----------------------------------------------------------------

                 ---- Inputs from Regressions ----
             |      Coeff.            R-Squared
-------------+----------------------------------------------------------------
Uncontrolled |       -0.17392         0.006
Controlled   |       -0.13153         0.195
-------------+----------------------------------------------------------------

                 ---- Other Inputs ----
-------------+----------------------------------------------------------------
R_max        |   0.312
Delta        |   1.000
Unr. Controls|   
-------------+----------------------------------------------------------------

. 
. 
.         
. ******************************
. *** Figures A8.1    ****
. ******************************
. 
. *define control variables
. 
. gl pop_cont_std std_diff_highq_bef std_diff_highed_bef std_diff_own_bef std_diff_em_bef  std_diff_retired_bef std_diff_child_7_15_b
> ef

. gl turnout_cont_std std_diff_voters_bef

. gl ecgeo_cont_std std_diff_b_area_multi std_diff_b_area_single  std_pop_dens_mdiff std_floorarea_pc_mdiff 

. gl lagg_std std_diff_area_single_lag_bef  std_diff_area_multi_lag_bef 

. 
. 
. foreach treat in  diff_maj_min {
  2. foreach sample in cl_bl all close {
  3. preserve
  4. local s=0
  5. matrix C =J(22,6,.)
  6. 
. foreach var  in  $pop_cont_std {
  7. local s=`s'+1
  8. reg `var' `treat'  if `sample'==1 [pw= w_dist_count],  cluster(llkk)
  9.         matrix C[`s',1]=_b[ `treat']
 10.         matrix C[`s',2]=(_b[ `treat']+1.96*_se[ `treat'])
 11.         matrix C[`s',3]=(_b[ `treat']-1.96*_se[ `treat'])
 12. }
 13. 
. local s=`s'+2
 14. 
. foreach var  in   $turnout_cont_std {
 15. local s=`s'+1
 16. reg `var' `treat'  if `sample'==1 [pw= w_dist_count],  cluster(llkk)
 17.         matrix C[`s',1]=_b[ `treat']
 18.         matrix C[`s',2]=(_b[ `treat']+1.96*_se[ `treat'])
 19.         matrix C[`s',3]=(_b[ `treat']-1.96*_se[ `treat'])
 20. }
 21. 
. local s=`s'+2 //+2
 22. 
. 
. foreach var  in         $ecgeo_cont_std std_ln_price_sqm_old_mdiff {
 23. 
. local s=`s'+1
 24. reg `var' `treat'  if `sample'==1  [pw=w_dist_count],  cluster(llkk)
 25.         matrix C[`s',1]=_b[ `treat']
 26.         matrix C[`s',2]=(_b[ `treat']+1.96*_se[ `treat'])
 27.         matrix C[`s',3]=(_b[ `treat']-1.96*_se[ `treat'])
 28. }
 29. 
. 
. 
. local s=`s'+2 //+2
 30. 
. foreach var  in   $lagg_std     {
 31. local s=`s'+1
 32. 
. reg `var' `treat'  if `sample'==1  [pw= w_dist_count],  cluster(llkk)
 33.         matrix C[`s',1]=_b[ `treat']
 34.         matrix C[`s',2]=(_b[ `treat']+1.96*_se[ `treat'])
 35.         matrix C[`s',3]=(_b[ `treat']-1.96*_se[ `treat'])
 36. 
. }
 37. 
. local s=`s'+1
 38. 
. svmat C
 39. sum C*
 40.  ren C1 est
 41.  ren C2 ci_low
 42.  ren C3 ci_high
 43. gen pos =21-_n 
 44. 
. 
. if "`sample'"=="all"  loc t "All elections"
 45. if "`sample'"=="close"  loc t "Close elections"
 46. if  "`sample'"=="cl_bl"  loc t "Close elections, no dominant bloc"
 47. 
. if "`sample'"=="all"  loc y ylabel(20 "Top income quartile" 19 "Tertiary educated" 18 "Non-immigrant"  ///
>          17  "Homeowner" 16 "Age 65+ years" 15 "Children 7-15 years" ///
>          12  "Voted in election"  ///
>         9 "Existing m.f. homes" 8 "Existing s.f. homes " ///
>         7 "Population density" 6 "Floor area per capita"  ///
>         5 "Housing prices"   ///
>         2 "Permit m.f. homes" 1 "Permit s.f. homes"  , labsize(medsmall) angle(horizontal)) ///
>         ymlabel(21 "{bf:Population}" 13 "{bf:Turnout}" 10 "{bf:Economic geography}" 3 "{bf: Lagged variables}", ///
>         labsize(medsmall) angle(horizontal) tlcolor(white) ) 
 48. else loc y ylabel(20 " " 19 " " 18 " " 17 " " 16 " " 15 " " 12 " " 9 " " 8 " " 7 " " 6 " "  5 " " 2 " " 1 " ")  
 49. loc x graphregion(margin(l=0 r=0))
 50. if "`sample'"=="close" loc x   graphregion(margin(l=13 r=10))   
 51. if  "`sample'"=="cl_bl" loc x  graphregion(margin(l=3 r=20))    
 52. 
. drop if _n>20 
 53. tab pos
 54. twoway (rbar ci_low ci_high pos , lwidth(vvthin)  fcolor(black) lcolor(black)  horizontal lpattern(solid) barwidth(.015)) ///
> (scatter pos est , msize(medlarge)  msymbol(circle)   mcolor(black)) ///
>         ,xline(0, lcolor(gs1) lpattern(dash)) xlabel(, grid) ///
>   scale(.7) `x' scheme(s1mono) yscale(range(0.5 21.5)) ytitle(, size(zero))  title("`t'" , size(medlarge))  ///
>         legend(off) `y'ysize(15) xsize(20) 
 55. 
. graph save `treat'_balance_`sample', replace
 56. 
.         restore
 57.         
.         }
 58.         }
(sum of wgt is 263)

Linear regression                               Number of obs     =      7,260
                                                F(1, 144)         =       0.12
                                                Prob > F          =     0.7274
                                                R-squared         =     0.0002
                                                Root MSE          =     .90156

                                 (Std. err. adjusted for 145 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
std_di~q_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.1289745   .3693129    -0.35   0.727    -.8589493    .6010002
       _cons |  -7.62e-18   1.22e-17    -0.63   0.533    -3.17e-17    1.65e-17
------------------------------------------------------------------------------
(sum of wgt is 263)

Linear regression                               Number of obs     =      7,260
                                                F(1, 144)         =       0.97
                                                Prob > F          =     0.3255
                                                R-squared         =     0.0027
                                                Root MSE          =     .90703

                                 (Std. err. adjusted for 145 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
std_~hed_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.4641483   .4704608    -0.99   0.326    -1.394049    .4657528
       _cons |   7.23e-18   1.15e-17     0.63   0.531    -1.55e-17    3.00e-17
------------------------------------------------------------------------------
(sum of wgt is 259.185140103525)

Linear regression                               Number of obs     =      6,692
                                                F(1, 144)         =       1.70
                                                Prob > F          =     0.1947
                                                R-squared         =     0.0019
                                                Root MSE          =     .88529

                                 (Std. err. adjusted for 145 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
std_diff_o~f | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.3759089   .2885113    -1.30   0.195    -.9461731    .1943553
       _cons |  -.0000241   .0000246    -0.98   0.329    -.0000726    .0000245
------------------------------------------------------------------------------
(sum of wgt is 263)

Linear regression                               Number of obs     =      7,260
                                                F(1, 144)         =       0.29
                                                Prob > F          =     0.5898
                                                R-squared         =     0.0005
                                                Root MSE          =     .92224

                                 (Std. err. adjusted for 145 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
std_diff_e~f | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.2133748   .3948903    -0.54   0.590    -.9939051    .5671554
       _cons |  -2.45e-18   4.69e-18    -0.52   0.603    -1.17e-17    6.83e-18
------------------------------------------------------------------------------
(sum of wgt is 263)

Linear regression                               Number of obs     =      7,260
                                                F(1, 144)         =       0.27
                                                Prob > F          =     0.6029
                                                R-squared         =     0.0006
                                                Root MSE          =     .90009

                                 (Std. err. adjusted for 145 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
std_diff_r~f | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |   .2196457    .421304     0.52   0.603    -.6130934    1.052385
       _cons |  -1.42e-17   1.16e-17    -1.22   0.223    -3.72e-17    8.74e-18
------------------------------------------------------------------------------
(sum of wgt is 263)

Linear regression                               Number of obs     =      7,260
                                                F(1, 144)         =       0.85
                                                Prob > F          =     0.3567
                                                R-squared         =     0.0015
                                                Root MSE          =     .91268

                                 (Std. err. adjusted for 145 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
std_diff_c~f | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.3544244   .3833253    -0.92   0.357    -1.112096    .4032468
       _cons |  -7.69e-18   1.13e-17    -0.68   0.499    -3.01e-17    1.47e-17
------------------------------------------------------------------------------
(sum of wgt is 263)

Linear regression                               Number of obs     =      7,260
                                                F(1, 144)         =       2.67
                                                Prob > F          =     0.1046
                                                R-squared         =     0.0045
                                                Root MSE          =     .86684

                                 (Std. err. adjusted for 145 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
std_diff_v~f | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.5815836   .3560748    -1.63   0.105    -1.285392     .122225
       _cons |   1.99e-17   1.27e-17     1.57   0.119    -5.14e-18    4.49e-17
------------------------------------------------------------------------------
(sum of wgt is 262.5999459769475)

Linear regression                               Number of obs     =      7,240
                                                F(1, 144)         =       0.01
                                                Prob > F          =     0.9320
                                                R-squared         =     0.0000
                                                Root MSE          =     .85018

                                 (Std. err. adjusted for 145 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
std_di~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.0330423   .3867749    -0.09   0.932    -.7975319    .7314473
       _cons |   .0000378   .0001371     0.28   0.783    -.0002331    .0003088
------------------------------------------------------------------------------
(sum of wgt is 262.5999459769475)

Linear regression                               Number of obs     =      7,240
                                                F(1, 144)         =       0.12
                                                Prob > F          =     0.7251
                                                R-squared         =     0.0004
                                                Root MSE          =     .95808

                                 (Std. err. adjusted for 145 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
std_di~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.1895472   .5379373    -0.35   0.725    -1.252821    .8737262
       _cons |   .0000848   .0003103     0.27   0.785    -.0005285     .000698
------------------------------------------------------------------------------
(sum of wgt is 263)

Linear regression                               Number of obs     =      7,260
                                                F(1, 144)         =       0.97
                                                Prob > F          =     0.3254
                                                R-squared         =     0.0000
                                                Root MSE          =     1.3642

                                 (Std. err. adjusted for 145 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
std_pop_de~f | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.0630241   .0638726    -0.99   0.325    -.1892731     .063225
       _cons |   1.00e-17   1.06e-17     0.94   0.348    -1.10e-17    3.10e-17
------------------------------------------------------------------------------
(sum of wgt is 263)

Linear regression                               Number of obs     =      7,260
                                                F(1, 144)         =       0.13
                                                Prob > F          =     0.7223
                                                R-squared         =     0.0000
                                                Root MSE          =     1.3153

                                 (Std. err. adjusted for 145 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
std_floora~f | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |    .087125   .2447002     0.36   0.722    -.3965433    .5707933
       _cons |  -1.10e-17   2.29e-17    -0.48   0.631    -5.63e-17    3.42e-17
------------------------------------------------------------------------------
(sum of wgt is 250.8546974147357)

Linear regression                               Number of obs     =      6,580
                                                F(1, 142)         =       0.06
                                                Prob > F          =     0.8137
                                                R-squared         =     0.0001
                                                Root MSE          =     .99871

                                 (Std. err. adjusted for 143 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
std_ln_pri~f | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.0745179   .3157037    -0.24   0.814    -.6986045    .5495688
       _cons |   .0000191    .000082     0.23   0.816    -.0001429    .0001811
------------------------------------------------------------------------------
(sum of wgt is 263)

Linear regression                               Number of obs     =      7,260
                                                F(1, 144)         =       0.00
                                                Prob > F          =     0.9672
                                                R-squared         =     0.0000
                                                Root MSE          =     .90274

                                 (Std. err. adjusted for 145 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
st~e_lag_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |   .0188807   .4588721     0.04   0.967    -.8881145    .9258759
       _cons |  -2.15e-18   3.88e-18    -0.55   0.580    -9.83e-18    5.52e-18
------------------------------------------------------------------------------
(sum of wgt is 263)

Linear regression                               Number of obs     =      7,260
                                                F(1, 144)         =       0.03
                                                Prob > F          =     0.8554
                                                R-squared         =     0.0000
                                                Root MSE          =     .94564

                                 (Std. err. adjusted for 145 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
st~i_lag_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.0614836     .33677    -0.18   0.855    -.7271347    .6041676
       _cons |  -8.43e-19   2.58e-18    -0.33   0.745    -5.95e-18    4.27e-18
------------------------------------------------------------------------------

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
          C1 |         14   -.1581699    .2217117  -.5815836   .2196457
          C2 |         14    .5458216    .2913131   .0621663   1.045402
          C3 |         14   -.8621613    .3362647  -1.386251  -.1882145
          C4 |          0
          C5 |          0
-------------+---------------------------------------------------------
          C6 |          0
(17,407 observations deleted)

        pos |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          1        5.00        5.00
          2 |          1        5.00       10.00
          3 |          1        5.00       15.00
          4 |          1        5.00       20.00
          5 |          1        5.00       25.00
          6 |          1        5.00       30.00
          7 |          1        5.00       35.00
          8 |          1        5.00       40.00
          9 |          1        5.00       45.00
         10 |          1        5.00       50.00
         11 |          1        5.00       55.00
         12 |          1        5.00       60.00
         13 |          1        5.00       65.00
         14 |          1        5.00       70.00
         15 |          1        5.00       75.00
         16 |          1        5.00       80.00
         17 |          1        5.00       85.00
         18 |          1        5.00       90.00
         19 |          1        5.00       95.00
         20 |          1        5.00      100.00
------------+-----------------------------------
      Total |         20      100.00
file diff_maj_min_balance_cl_bl.gph saved
(sum of wgt is 780)

Linear regression                               Number of obs     =     15,781
                                                F(1, 286)         =       1.24
                                                Prob > F          =     0.2661
                                                R-squared         =     0.0036
                                                Root MSE          =     1.0078

                                 (Std. err. adjusted for 287 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
std_di~q_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |   -.524498   .4707503    -1.11   0.266    -1.451073    .4020767
       _cons |   2.82e-18   7.62e-18     0.37   0.711    -1.22e-17    1.78e-17
------------------------------------------------------------------------------
(sum of wgt is 780)

Linear regression                               Number of obs     =     15,781
                                                F(1, 286)         =       1.14
                                                Prob > F          =     0.2863
                                                R-squared         =     0.0043
                                                Root MSE          =     1.0175

                                 (Std. err. adjusted for 287 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
std_~hed_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.5772758   .5403432    -1.07   0.286     -1.64083    .4862782
       _cons |  -4.28e-18   8.26e-18    -0.52   0.605    -2.05e-17    1.20e-17
------------------------------------------------------------------------------
(sum of wgt is 773.7182772065333)

Linear regression                               Number of obs     =     15,041
                                                F(1, 286)         =       2.45
                                                Prob > F          =     0.1188
                                                R-squared         =     0.0017
                                                Root MSE          =     1.0135

                                 (Std. err. adjusted for 287 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
std_diff_o~f | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.3610804   .2307793    -1.56   0.119    -.8153216    .0931609
       _cons |  -.0000122   .0000108    -1.13   0.261    -.0000336    9.12e-06
------------------------------------------------------------------------------
(sum of wgt is 780)

Linear regression                               Number of obs     =     15,781
                                                F(1, 286)         =       0.68
                                                Prob > F          =     0.4097
                                                R-squared         =     0.0013
                                                Root MSE          =     1.0033

                                 (Std. err. adjusted for 287 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
std_diff_e~f | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.3080607   .3731237    -0.83   0.410    -1.042478    .4263563
       _cons |  -5.53e-19   3.87e-18    -0.14   0.887    -8.18e-18    7.07e-18
------------------------------------------------------------------------------
(sum of wgt is 780)

Linear regression                               Number of obs     =     15,781
                                                F(1, 286)         =       1.51
                                                Prob > F          =     0.2198
                                                R-squared         =     0.0031
                                                Root MSE          =     .99504

                                 (Std. err. adjusted for 287 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
std_diff_r~f | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |   .4757069   .3868137     1.23   0.220     -.285656     1.23707
       _cons |  -4.83e-18   5.67e-18    -0.85   0.395    -1.60e-17    6.33e-18
------------------------------------------------------------------------------
(sum of wgt is 780)

Linear regression                               Number of obs     =     15,781
                                                F(1, 286)         =       0.00
                                                Prob > F          =     0.9593
                                                R-squared         =     0.0000
                                                Root MSE          =     1.0051

                                 (Std. err. adjusted for 287 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
std_diff_c~f | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.0170786     .33448    -0.05   0.959    -.6754334    .6412762
       _cons |   1.37e-18   6.25e-18     0.22   0.826    -1.09e-17    1.37e-17
------------------------------------------------------------------------------
(sum of wgt is 780)

Linear regression                               Number of obs     =     15,781
                                                F(1, 286)         =       0.16
                                                Prob > F          =     0.6903
                                                R-squared         =     0.0001
                                                Root MSE          =     .98141

                                 (Std. err. adjusted for 287 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
std_diff_v~f | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |   .0936347   .2347403     0.40   0.690     -.368403    .5556725
       _cons |   9.06e-18   7.00e-18     1.29   0.197    -4.71e-18    2.28e-17
------------------------------------------------------------------------------
(sum of wgt is 779.041842426751)

Linear regression                               Number of obs     =     15,744
                                                F(1, 286)         =       0.27
                                                Prob > F          =     0.6051
                                                R-squared         =     0.0010
                                                Root MSE          =     .98089

                                 (Std. err. adjusted for 287 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
std_di~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |   .2659054    .513715     0.52   0.605    -.7452364    1.277047
       _cons |   2.33e-06   .0001031     0.02   0.982    -.0002006    .0002052
------------------------------------------------------------------------------
(sum of wgt is 779.041842426751)

Linear regression                               Number of obs     =     15,744
                                                F(1, 286)         =       0.76
                                                Prob > F          =     0.3829
                                                R-squared         =     0.0019
                                                Root MSE          =     1.0085

                                 (Std. err. adjusted for 287 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
std_di~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.3781468   .4326709    -0.87   0.383     -1.22977    .4734765
       _cons |   .0000154   .0002393     0.06   0.949    -.0004556    .0004865
------------------------------------------------------------------------------
(sum of wgt is 780)

Linear regression                               Number of obs     =     15,781
                                                F(1, 286)         =       0.15
                                                Prob > F          =     0.7024
                                                R-squared         =     0.0000
                                                Root MSE          =     1.0357

                                 (Std. err. adjusted for 287 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
std_pop_de~f | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.0112682     .02946    -0.38   0.702     -.069254    .0467177
       _cons |   5.78e-19   3.49e-18     0.17   0.869    -6.28e-18    7.44e-18
------------------------------------------------------------------------------
(sum of wgt is 780)

Linear regression                               Number of obs     =     15,781
                                                F(1, 286)         =       0.07
                                                Prob > F          =     0.7859
                                                R-squared         =     0.0000
                                                Root MSE          =     1.0357

                                 (Std. err. adjusted for 287 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
std_floora~f | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |   .0363221   .1335963     0.27   0.786    -.2266345    .2992787
       _cons |   8.91e-19   1.23e-17     0.07   0.942    -2.34e-17    2.51e-17
------------------------------------------------------------------------------
(sum of wgt is 748.0002598840925)

Linear regression                               Number of obs     =     14,738
                                                F(1, 286)         =       0.25
                                                Prob > F          =     0.6198
                                                R-squared         =     0.0001
                                                Root MSE          =     1.0032

                                 (Std. err. adjusted for 287 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
std_ln_pri~f | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.0994803   .2002712    -0.50   0.620    -.4936727    .2947121
       _cons |  -.0000217   .0000534    -0.41   0.685    -.0001268    .0000835
------------------------------------------------------------------------------
(sum of wgt is 780)

Linear regression                               Number of obs     =     15,781
                                                F(1, 286)         =       2.40
                                                Prob > F          =     0.1223
                                                R-squared         =     0.0054
                                                Root MSE          =     .99888

                                 (Std. err. adjusted for 287 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
st~e_lag_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.6329626   .4084586    -1.55   0.122    -1.436929    .1710037
       _cons |  -1.34e-18   2.27e-18    -0.59   0.555    -5.82e-18    3.13e-18
------------------------------------------------------------------------------
(sum of wgt is 780)

Linear regression                               Number of obs     =     15,781
                                                F(1, 286)         =       2.41
                                                Prob > F          =     0.1214
                                                R-squared         =     0.0009
                                                Root MSE          =      1.021

                                 (Std. err. adjusted for 287 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
st~i_lag_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.2688799   .1730729    -1.55   0.121    -.6095382    .0717784
       _cons |  -1.02e-18   2.10e-18    -0.49   0.626    -5.15e-18    3.10e-18
------------------------------------------------------------------------------

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
          C1 |         14   -.1647973    .3266084  -.6329626   .4757069
          C2 |         14    .4599213    .3827272   .0464734   1.272787
          C3 |         14   -.7895159    .4983685  -1.636348  -.0690097
          C4 |          0
          C5 |          0
-------------+---------------------------------------------------------
          C6 |          0
(17,407 observations deleted)

        pos |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          1        5.00        5.00
          2 |          1        5.00       10.00
          3 |          1        5.00       15.00
          4 |          1        5.00       20.00
          5 |          1        5.00       25.00
          6 |          1        5.00       30.00
          7 |          1        5.00       35.00
          8 |          1        5.00       40.00
          9 |          1        5.00       45.00
         10 |          1        5.00       50.00
         11 |          1        5.00       55.00
         12 |          1        5.00       60.00
         13 |          1        5.00       65.00
         14 |          1        5.00       70.00
         15 |          1        5.00       75.00
         16 |          1        5.00       80.00
         17 |          1        5.00       85.00
         18 |          1        5.00       90.00
         19 |          1        5.00       95.00
         20 |          1        5.00      100.00
------------+-----------------------------------
      Total |         20      100.00
file diff_maj_min_balance_all.gph saved
(sum of wgt is 377)

Linear regression                               Number of obs     =     10,062
                                                F(1, 191)         =       1.62
                                                Prob > F          =     0.2044
                                                R-squared         =     0.0070
                                                Root MSE          =     .93751

                                 (Std. err. adjusted for 192 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
std_di~q_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |    -.75496   .5928543    -1.27   0.204    -1.924343    .4144226
       _cons |  -3.96e-18   8.71e-18    -0.46   0.650    -2.11e-17    1.32e-17
------------------------------------------------------------------------------
(sum of wgt is 377)

Linear regression                               Number of obs     =     10,062
                                                F(1, 191)         =       2.62
                                                Prob > F          =     0.1070
                                                R-squared         =     0.0089
                                                Root MSE          =     .91075

                                 (Std. err. adjusted for 192 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
std_~hed_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.8274794   .5109251    -1.62   0.107     -1.83526    .1803011
       _cons |   3.12e-18   9.23e-18     0.34   0.736    -1.51e-17    2.13e-17
------------------------------------------------------------------------------
(sum of wgt is 372.1564034513585)

Linear regression                               Number of obs     =      9,370
                                                F(1, 191)         =       0.77
                                                Prob > F          =     0.3825
                                                R-squared         =     0.0006
                                                Root MSE          =     .90697

                                 (Std. err. adjusted for 192 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
std_diff_o~f | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.2081408   .2377702    -0.88   0.382    -.6771336    .2608519
       _cons |  -.0000126   .0000165    -0.76   0.445    -.0000452      .00002
------------------------------------------------------------------------------
(sum of wgt is 377)

Linear regression                               Number of obs     =     10,062
                                                F(1, 191)         =       1.67
                                                Prob > F          =     0.1973
                                                R-squared         =     0.0025
                                                Root MSE          =     .91338

                                 (Std. err. adjusted for 192 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
std_diff_e~f | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |   -.439371   .3396145    -1.29   0.197    -1.109248    .2305056
       _cons |  -1.27e-18   4.35e-18    -0.29   0.771    -9.84e-18    7.31e-18
------------------------------------------------------------------------------
(sum of wgt is 377)

Linear regression                               Number of obs     =     10,062
                                                F(1, 191)         =       1.77
                                                Prob > F          =     0.1850
                                                R-squared         =     0.0078
                                                Root MSE          =     .88812

                                 (Std. err. adjusted for 192 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
std_diff_r~f | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |   .7547686   .5673763     1.33   0.185    -.3643596    1.873897
       _cons |  -9.79e-18   8.57e-18    -1.14   0.255    -2.67e-17    7.12e-18
------------------------------------------------------------------------------
(sum of wgt is 377)

Linear regression                               Number of obs     =     10,062
                                                F(1, 191)         =       0.32
                                                Prob > F          =     0.5742
                                                R-squared         =     0.0004
                                                Root MSE          =     .89011

                                 (Std. err. adjusted for 192 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
std_diff_c~f | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.1616676   .2872359    -0.56   0.574    -.7282296    .4048943
       _cons |  -7.85e-18   8.30e-18    -0.95   0.346    -2.42e-17    8.53e-18
------------------------------------------------------------------------------
(sum of wgt is 377)

Linear regression                               Number of obs     =     10,062
                                                F(1, 191)         =       0.44
                                                Prob > F          =     0.5096
                                                R-squared         =     0.0008
                                                Root MSE          =     .87787

                                 (Std. err. adjusted for 192 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
std_diff_v~f | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.2442526    .369728    -0.66   0.510     -.973527    .4850217
       _cons |   1.21e-17   9.50e-18     1.27   0.205    -6.66e-18    3.08e-17
------------------------------------------------------------------------------
(sum of wgt is 376.50803844004)

Linear regression                               Number of obs     =     10,037
                                                F(1, 191)         =       0.56
                                                Prob > F          =     0.4567
                                                R-squared         =     0.0025
                                                Root MSE          =     .87371

                                 (Std. err. adjusted for 192 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
std_di~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |   .4208509   .5643252     0.75   0.457    -.6922592    1.533961
       _cons |  -8.05e-06   .0000988    -0.08   0.935    -.0002028    .0001867
------------------------------------------------------------------------------
(sum of wgt is 376.50803844004)

Linear regression                               Number of obs     =     10,037
                                                F(1, 191)         =       1.47
                                                Prob > F          =     0.2268
                                                R-squared         =     0.0044
                                                Root MSE          =     .94953

                                 (Std. err. adjusted for 192 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
std_di~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.6056286    .499509    -1.21   0.227    -1.590891    .3796339
       _cons |  -.0000226   .0002247    -0.10   0.920    -.0004659    .0004206
------------------------------------------------------------------------------
(sum of wgt is 377)

Linear regression                               Number of obs     =     10,062
                                                F(1, 191)         =       0.11
                                                Prob > F          =     0.7388
                                                R-squared         =     0.0000
                                                Root MSE          =     1.2307

                                 (Std. err. adjusted for 192 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
std_pop_de~f | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |   .0177265   .0530939     0.33   0.739    -.0869993    .1224522
       _cons |   1.64e-18   6.33e-18     0.26   0.796    -1.08e-17    1.41e-17
------------------------------------------------------------------------------
(sum of wgt is 377)

Linear regression                               Number of obs     =     10,062
                                                F(1, 191)         =       0.45
                                                Prob > F          =     0.5031
                                                R-squared         =     0.0001
                                                Root MSE          =     1.2082

                                 (Std. err. adjusted for 192 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
std_floora~f | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.1290055   .1923032    -0.67   0.503    -.5083162    .2503051
       _cons |  -1.31e-17   1.96e-17    -0.67   0.505    -5.18e-17    2.56e-17
------------------------------------------------------------------------------
(sum of wgt is 361.8724474845009)

Linear regression                               Number of obs     =      9,218
                                                F(1, 189)         =       1.93
                                                Prob > F          =     0.1664
                                                R-squared         =     0.0015
                                                Root MSE          =     .99837

                                 (Std. err. adjusted for 190 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
std_ln_pri~f | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |   -.369476   .2659689    -1.39   0.166     -.894125     .155173
       _cons |   .0000517   .0000964     0.54   0.592    -.0001385    .0002419
------------------------------------------------------------------------------
(sum of wgt is 377)

Linear regression                               Number of obs     =     10,062
                                                F(1, 191)         =       0.95
                                                Prob > F          =     0.3317
                                                R-squared         =     0.0040
                                                Root MSE          =     .88088

                                 (Std. err. adjusted for 192 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
st~e_lag_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |   -.538049   .5528452    -0.97   0.332    -1.628515    .5524172
       _cons |  -3.70e-18   2.72e-18    -1.36   0.176    -9.06e-18    1.67e-18
------------------------------------------------------------------------------
(sum of wgt is 377)

Linear regression                               Number of obs     =     10,062
                                                F(1, 191)         =       0.76
                                                Prob > F          =     0.3839
                                                R-squared         =     0.0005
                                                Root MSE          =     .97437

                                 (Std. err. adjusted for 192 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
st~i_lag_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.2193288   .2512862    -0.87   0.384    -.7149813    .2763236
       _cons |  -1.62e-18   2.57e-18    -0.63   0.530    -6.70e-18    3.46e-18
------------------------------------------------------------------------------

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
          C1 |         14    -.236001    .4298255  -.8274794   .7547686
          C2 |         14    .5038761    .5246664   .1217906   1.866826
          C3 |         14    -.975878    .5635032  -1.916954  -.0863376
          C4 |          0
          C5 |          0
-------------+---------------------------------------------------------
          C6 |          0
(17,407 observations deleted)

        pos |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          1        5.00        5.00
          2 |          1        5.00       10.00
          3 |          1        5.00       15.00
          4 |          1        5.00       20.00
          5 |          1        5.00       25.00
          6 |          1        5.00       30.00
          7 |          1        5.00       35.00
          8 |          1        5.00       40.00
          9 |          1        5.00       45.00
         10 |          1        5.00       50.00
         11 |          1        5.00       55.00
         12 |          1        5.00       60.00
         13 |          1        5.00       65.00
         14 |          1        5.00       70.00
         15 |          1        5.00       75.00
         16 |          1        5.00       80.00
         17 |          1        5.00       85.00
         18 |          1        5.00       90.00
         19 |          1        5.00       95.00
         20 |          1        5.00      100.00
------------+-----------------------------------
      Total |         20      100.00
file diff_maj_min_balance_close.gph saved

. 
. 
.         
.         graph combine  diff_maj_min_balance_all.gph  diff_maj_min_balance_close.gph diff_maj_min_balance_cl_bl.gph, col(3) iscale(1
> .1) ///
>         scheme(s1mono)   ysize(9) xsize(20)     b1("Estimated relationship with the treatment variable (the difference in residenti
> al" "concentration of majority and opposition politicians)", size(medium)) xcommon

. graph export "$res\figA81.$e", replace  
file \\micro.intra\Projekt\P0624$\P0624_Gem\Politisk Geografi\Results\figA81.eps saved as EPS format

. 
. 
. 
. 
.          
. **********************    
. ****  Figure A9.1  ***
. **********************
.           
.                   
.          foreach var in area_multi area_single {
  2.         foreach sample in all bl {
  3. preserve
  4.         matrix B = J(95,4,.)
  5. gen treat =diff_maj_min
  6.         forvalues n=1/95{
  7.          scalar bandwidth = `n'/1000+0.005
  8.                   reg diff_`var'_bef treat [pw=w_dist_count ] if ( `sample'==1 & abs(dist_h_simp) <bandwidth| abs(dist_v_simp) <
> bandwidth) ,cluster(llkk)
  9.                         matrix B[`n',1] = _b[treat]
 10.                         matrix B[`n',2] = _b[treat] + 1.96*_se[treat]
 11.                         matrix B[`n',3] = _b[treat] - 1.96*_se[treat]
 12.                         matrix B[`n',4] = bandwidth
 13.                 }
 14.         svmat B
 15.         rename B1 estimate
 16.         rename B2 upper
 17.         rename B3 lower
 18.         rename B4 bandwidth
 19.         
. if "`sample'"=="all" loc t "All election"
 20. if "`sample'"=="bl" loc t "Elections with no dominant bloc"
 21. if "`var'"=="area_multi" loc x title("`t'") xlabel(, nolabels)
 22. if "`var'"=="area_single"       loc x title("") 
 23. if "`sample'"=="bl" loc y ylabel(-0.4 "" -0.2 "" 0 "" 0.2 ""  , nolabels grid) graphregion(margin(5 0 0 0))
 24. if "`sample'"=="all"  loc y   ylabel( -0.4 "-.4" -0.2 "-.2" 0 "0" 0.2 ".2" , angle(horizontal) grid) graphregion(margin(0 0 0 0)
> )
 25.         
.         graph twoway line estimate upper lower bandwidth, lc(gs0 gs0 gs0) lp(solid shortdash shortdash) ///
>                  xline(0.05, lcolor(gs1) lpattern(shortdash)) yline(0, lcolor(gs7) lpattern(dash))  xtitle("") ///
>          ytitle("")    scheme(s1mono) ///
>          legend(on order(1 "Point estimate" 2 "95% confidence interval")  rows(1) size(small)) ///
>           `x' `y' yscale(range(-0.5 0.3)) xscale(range(0 0.1))
 26.                 graph save bw_`sample'_`var', replace
 27. restore
 28. }
 29. }       
(1,642 missing values generated)
(sum of wgt is 34)

Linear regression                               Number of obs     =      1,459
                                                F(1, 32)          =       0.20
                                                Prob > F          =     0.6565
                                                R-squared         =     0.0011
                                                Root MSE          =     .18626

                                  (Std. err. adjusted for 33 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.0784646   .1747958    -0.45   0.657     -.434512    .2775828
       _cons |   6.45e-19   1.93e-18     0.33   0.740    -3.28e-18    4.57e-18
------------------------------------------------------------------------------
(sum of wgt is 37)

Linear regression                               Number of obs     =      1,539
                                                F(1, 34)          =       0.54
                                                Prob > F          =     0.4663
                                                R-squared         =     0.0023
                                                Root MSE          =     .19607

                                  (Std. err. adjusted for 35 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1170032   .1588002    -0.74   0.466    -.4397241    .2057176
       _cons |   6.69e-19   1.21e-18     0.55   0.584    -1.79e-18    3.13e-18
------------------------------------------------------------------------------
(sum of wgt is 45)

Linear regression                               Number of obs     =      1,669
                                                F(1, 41)          =       3.28
                                                Prob > F          =     0.0773
                                                R-squared         =     0.0088
                                                Root MSE          =     .20312

                                  (Std. err. adjusted for 42 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.2083963   .1150212    -1.81   0.077    -.4406864    .0238937
       _cons |   9.63e-19   1.08e-18     0.89   0.379    -1.22e-18    3.15e-18
------------------------------------------------------------------------------
(sum of wgt is 49)

Linear regression                               Number of obs     =      1,760
                                                F(1, 44)          =       3.31
                                                Prob > F          =     0.0756
                                                R-squared         =     0.0077
                                                Root MSE          =     .20271

                                  (Std. err. adjusted for 45 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1966945   .1080958    -1.82   0.076    -.4145474    .0211583
       _cons |   2.95e-19   1.01e-18     0.29   0.771    -1.74e-18    2.33e-18
------------------------------------------------------------------------------
(sum of wgt is 57)

Linear regression                               Number of obs     =      1,926
                                                F(1, 50)          =       2.40
                                                Prob > F          =     0.1274
                                                R-squared         =     0.0047
                                                Root MSE          =     .19993

                                  (Std. err. adjusted for 51 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1532152   .0988236    -1.55   0.127    -.3517083    .0452779
       _cons |   2.27e-19   1.06e-18     0.21   0.831    -1.90e-18    2.35e-18
------------------------------------------------------------------------------
(sum of wgt is 62)

Linear regression                               Number of obs     =      2,309
                                                F(1, 54)          =       2.37
                                                Prob > F          =     0.1299
                                                R-squared         =     0.0042
                                                Root MSE          =     .19441

                                  (Std. err. adjusted for 55 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1435876   .0933685    -1.54   0.130    -.3307803     .043605
       _cons |   1.08e-18   8.73e-19     1.24   0.222    -6.70e-19    2.83e-18
------------------------------------------------------------------------------
(sum of wgt is 63)

Linear regression                               Number of obs     =      2,413
                                                F(1, 55)          =       2.36
                                                Prob > F          =     0.1302
                                                R-squared         =     0.0042
                                                Root MSE          =      .1929

                                  (Std. err. adjusted for 56 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1432538   .0932583    -1.54   0.130    -.3301476      .04364
       _cons |  -3.97e-20   8.93e-19    -0.04   0.965    -1.83e-18    1.75e-18
------------------------------------------------------------------------------
(sum of wgt is 70)

Linear regression                               Number of obs     =      2,614
                                                F(1, 59)          =       1.64
                                                Prob > F          =     0.2056
                                                R-squared         =     0.0038
                                                Root MSE          =     .19856

                                  (Std. err. adjusted for 60 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1363209   .1065046    -1.28   0.206     -.349436    .0767943
       _cons |   9.13e-19   8.95e-19     1.02   0.312    -8.77e-19    2.70e-18
------------------------------------------------------------------------------
(sum of wgt is 73)

Linear regression                               Number of obs     =      2,735
                                                F(1, 62)          =       1.62
                                                Prob > F          =     0.2078
                                                R-squared         =     0.0036
                                                Root MSE          =     .19745

                                  (Std. err. adjusted for 63 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |   -.132416   .1040319    -1.27   0.208    -.3403729    .0755408
       _cons |   1.28e-19   9.74e-19     0.13   0.896    -1.82e-18    2.07e-18
------------------------------------------------------------------------------
(sum of wgt is 85)

Linear regression                               Number of obs     =      3,017
                                                F(1, 71)          =       1.58
                                                Prob > F          =     0.2124
                                                R-squared         =     0.0031
                                                Root MSE          =     .19433

                                  (Std. err. adjusted for 72 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1216999   .0967167    -1.26   0.212    -.3145475    .0711476
       _cons |   4.97e-19   8.47e-19     0.59   0.559    -1.19e-18    2.19e-18
------------------------------------------------------------------------------
(sum of wgt is 88)

Linear regression                               Number of obs     =      3,055
                                                F(1, 72)          =       2.29
                                                Prob > F          =     0.1350
                                                R-squared         =     0.0042
                                                Root MSE          =     .19603

                                  (Std. err. adjusted for 73 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1439153   .0951965    -1.51   0.135    -.3336861    .0458555
       _cons |   4.78e-19   8.92e-19     0.54   0.594    -1.30e-18    2.26e-18
------------------------------------------------------------------------------
(sum of wgt is 99)

Linear regression                               Number of obs     =      3,330
                                                F(1, 78)          =       3.38
                                                Prob > F          =     0.0697
                                                R-squared         =     0.0060
                                                Root MSE          =     .19758

                                  (Std. err. adjusted for 79 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1738044   .0945037    -1.84   0.070    -.3619467     .014338
       _cons |   6.45e-19   7.92e-19     0.81   0.418    -9.32e-19    2.22e-18
------------------------------------------------------------------------------
(sum of wgt is 106)

Linear regression                               Number of obs     =      3,492
                                                F(1, 83)          =       4.84
                                                Prob > F          =     0.0306
                                                R-squared         =     0.0081
                                                Root MSE          =     .19703

                                  (Std. err. adjusted for 84 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.2026371   .0920879    -2.20   0.031    -.3857962    -.019478
       _cons |   7.47e-19   7.97e-19     0.94   0.351    -8.38e-19    2.33e-18
------------------------------------------------------------------------------
(sum of wgt is 113)

Linear regression                               Number of obs     =      3,671
                                                F(1, 88)          =       5.28
                                                Prob > F          =     0.0239
                                                R-squared         =     0.0118
                                                Root MSE          =     .19871

                                  (Std. err. adjusted for 89 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.2471525   .1075112    -2.30   0.024    -.4608084   -.0334966
       _cons |   3.31e-19   8.41e-19     0.39   0.695    -1.34e-18    2.00e-18
------------------------------------------------------------------------------
(sum of wgt is 126)

Linear regression                               Number of obs     =      4,455
                                                F(1, 92)          =       5.64
                                                Prob > F          =     0.0197
                                                R-squared         =     0.0108
                                                Root MSE          =     .19521

                                  (Std. err. adjusted for 93 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.2326933   .0980122    -2.37   0.020     -.427354   -.0380325
       _cons |  -3.65e-20   7.67e-19    -0.05   0.962    -1.56e-18    1.49e-18
------------------------------------------------------------------------------
(sum of wgt is 134)

Linear regression                               Number of obs     =      4,664
                                                F(1, 97)          =       4.97
                                                Prob > F          =     0.0281
                                                R-squared         =     0.0088
                                                Root MSE          =     .19355

                                  (Std. err. adjusted for 98 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.2102785   .0943454    -2.23   0.028     -.397528   -.0230289
       _cons |   6.17e-19   7.82e-19     0.79   0.432    -9.35e-19    2.17e-18
------------------------------------------------------------------------------
(sum of wgt is 136)

Linear regression                               Number of obs     =      4,718
                                                F(1, 99)          =       4.93
                                                Prob > F          =     0.0287
                                                R-squared         =     0.0087
                                                Root MSE          =     .19287

                                 (Std. err. adjusted for 100 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.2082699   .0938145    -2.22   0.029    -.3944181   -.0221217
       _cons |   3.40e-19   9.90e-19     0.34   0.732    -1.62e-18    2.30e-18
------------------------------------------------------------------------------
(sum of wgt is 142)

Linear regression                               Number of obs     =      4,902
                                                F(1, 102)         =       4.75
                                                Prob > F          =     0.0316
                                                R-squared         =     0.0079
                                                Root MSE          =     .19117

                                 (Std. err. adjusted for 103 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |   -.198287   .0909975    -2.18   0.032    -.3787802   -.0177939
       _cons |   1.55e-19   8.09e-19     0.19   0.848    -1.45e-18    1.76e-18
------------------------------------------------------------------------------
(sum of wgt is 150)

Linear regression                               Number of obs     =      5,126
                                                F(1, 104)         =       5.22
                                                Prob > F          =     0.0244
                                                R-squared         =     0.0082
                                                Root MSE          =      .1902

                                 (Std. err. adjusted for 105 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.2034306   .0890689    -2.28   0.024    -.3800576   -.0268035
       _cons |   3.11e-19   6.32e-19     0.49   0.624    -9.42e-19    1.56e-18
------------------------------------------------------------------------------
(sum of wgt is 154)

Linear regression                               Number of obs     =      5,292
                                                F(1, 107)         =       5.18
                                                Prob > F          =     0.0248
                                                R-squared         =     0.0080
                                                Root MSE          =     .18889

                                 (Std. err. adjusted for 108 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.2012011   .0883949    -2.28   0.025    -.3764336   -.0259685
       _cons |   2.25e-19   5.94e-19     0.38   0.706    -9.52e-19    1.40e-18
------------------------------------------------------------------------------
(sum of wgt is 161)

Linear regression                               Number of obs     =      5,464
                                                F(1, 110)         =       5.03
                                                Prob > F          =     0.0269
                                                R-squared         =     0.0074
                                                Root MSE          =      .1867

                                 (Std. err. adjusted for 111 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |   -.191689   .0854389    -2.24   0.027    -.3610087   -.0223692
       _cons |   1.21e-19   5.31e-19     0.23   0.820    -9.30e-19    1.17e-18
------------------------------------------------------------------------------
(sum of wgt is 163)

Linear regression                               Number of obs     =      5,641
                                                F(1, 112)         =       5.26
                                                Prob > F          =     0.0237
                                                R-squared         =     0.0076
                                                Root MSE          =     .18629

                                 (Std. err. adjusted for 113 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1951346   .0850801    -2.29   0.024      -.36371   -.0265593
       _cons |   3.51e-19   4.86e-19     0.72   0.471    -6.11e-19    1.31e-18
------------------------------------------------------------------------------
(sum of wgt is 168)

Linear regression                               Number of obs     =      5,804
                                                F(1, 113)         =       4.62
                                                Prob > F          =     0.0338
                                                R-squared         =     0.0065
                                                Root MSE          =     .18544

                                 (Std. err. adjusted for 114 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1798162   .0836719    -2.15   0.034    -.3455853   -.0140471
       _cons |  -2.17e-19   6.44e-19    -0.34   0.737    -1.49e-18    1.06e-18
------------------------------------------------------------------------------
(sum of wgt is 171)

Linear regression                               Number of obs     =      5,878
                                                F(1, 114)         =       4.89
                                                Prob > F          =     0.0291
                                                R-squared         =     0.0068
                                                Root MSE          =     .18519

                                 (Std. err. adjusted for 115 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1821882   .0824114    -2.21   0.029    -.3454444   -.0189319
       _cons |   1.99e-19   7.16e-19     0.28   0.782    -1.22e-18    1.62e-18
------------------------------------------------------------------------------
(sum of wgt is 175)

Linear regression                               Number of obs     =      6,070
                                                F(1, 115)         =       4.45
                                                Prob > F          =     0.0370
                                                R-squared         =     0.0060
                                                Root MSE          =     .18511

                                 (Std. err. adjusted for 116 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1718308   .0814205    -2.11   0.037    -.3331091   -.0105524
       _cons |   2.77e-19   5.39e-19     0.51   0.609    -7.91e-19    1.34e-18
------------------------------------------------------------------------------
(sum of wgt is 183)

Linear regression                               Number of obs     =      6,245
                                                F(1, 119)         =       5.14
                                                Prob > F          =     0.0251
                                                R-squared         =     0.0064
                                                Root MSE          =     .18702

                                 (Std. err. adjusted for 120 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1790939   .0789567    -2.27   0.025     -.335436   -.0227518
       _cons |  -1.55e-19   6.17e-19    -0.25   0.802    -1.38e-18    1.07e-18
------------------------------------------------------------------------------
(sum of wgt is 188)

Linear regression                               Number of obs     =      6,335
                                                F(1, 121)         =       4.40
                                                Prob > F          =     0.0381
                                                R-squared         =     0.0053
                                                Root MSE          =     .18883

                                 (Std. err. adjusted for 122 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1645019   .0784404    -2.10   0.038    -.3197954   -.0092085
       _cons |   2.52e-19   6.78e-19     0.37   0.711    -1.09e-18    1.60e-18
------------------------------------------------------------------------------
(sum of wgt is 192)

Linear regression                               Number of obs     =      6,391
                                                F(1, 122)         =       4.69
                                                Prob > F          =     0.0322
                                                R-squared         =     0.0053
                                                Root MSE          =     .19042

                                 (Std. err. adjusted for 123 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1641722   .0757904    -2.17   0.032    -.3142069   -.0141376
       _cons |  -1.44e-19   6.54e-19    -0.22   0.826    -1.44e-18    1.15e-18
------------------------------------------------------------------------------
(sum of wgt is 193)

Linear regression                               Number of obs     =      6,441
                                                F(1, 122)         =       4.71
                                                Prob > F          =     0.0320
                                                R-squared         =     0.0053
                                                Root MSE          =     .19006

                                 (Std. err. adjusted for 123 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1643086   .0757278    -2.17   0.032    -.3142195   -.0143978
       _cons |   1.44e-19   7.26e-19     0.20   0.843    -1.29e-18    1.58e-18
------------------------------------------------------------------------------
(sum of wgt is 199)

Linear regression                               Number of obs     =      6,971
                                                F(1, 123)         =       5.36
                                                Prob > F          =     0.0223
                                                R-squared         =     0.0057
                                                Root MSE          =     .18979

                                 (Std. err. adjusted for 124 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1695941   .0732483    -2.32   0.022    -.3145845   -.0246036
       _cons |   2.62e-19   6.94e-19     0.38   0.706    -1.11e-18    1.64e-18
------------------------------------------------------------------------------
(sum of wgt is 207)

Linear regression                               Number of obs     =      7,091
                                                F(1, 128)         =       5.35
                                                Prob > F          =     0.0223
                                                R-squared         =     0.0052
                                                Root MSE          =     .19121

                                 (Std. err. adjusted for 129 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |   -.162355     .07019    -2.31   0.022    -.3012378   -.0234722
       _cons |   2.37e-19   5.79e-19     0.41   0.683    -9.09e-19    1.38e-18
------------------------------------------------------------------------------
(sum of wgt is 212)

Linear regression                               Number of obs     =      7,191
                                                F(1, 131)         =       5.56
                                                Prob > F          =     0.0199
                                                R-squared         =     0.0052
                                                Root MSE          =     .19136

                                 (Std. err. adjusted for 132 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1632203   .0692404    -2.36   0.020    -.3001943   -.0262464
       _cons |   7.98e-19   5.90e-19     1.35   0.178    -3.68e-19    1.97e-18
------------------------------------------------------------------------------
(sum of wgt is 221)

Linear regression                               Number of obs     =      7,753
                                                F(1, 132)         =       5.67
                                                Prob > F          =     0.0187
                                                R-squared         =     0.0053
                                                Root MSE          =     .18949

                                 (Std. err. adjusted for 133 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1638124   .0688235    -2.38   0.019    -.2999521   -.0276728
       _cons |  -6.09e-20   5.37e-19    -0.11   0.910    -1.12e-18    1.00e-18
------------------------------------------------------------------------------
(sum of wgt is 221)

Linear regression                               Number of obs     =      7,753
                                                F(1, 132)         =       5.67
                                                Prob > F          =     0.0187
                                                R-squared         =     0.0053
                                                Root MSE          =     .18949

                                 (Std. err. adjusted for 133 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1638124   .0688235    -2.38   0.019    -.2999521   -.0276728
       _cons |  -6.09e-20   5.37e-19    -0.11   0.910    -1.12e-18    1.00e-18
------------------------------------------------------------------------------
(sum of wgt is 226)

Linear regression                               Number of obs     =      7,875
                                                F(1, 134)         =       5.06
                                                Prob > F          =     0.0262
                                                R-squared         =     0.0047
                                                Root MSE          =     .18995

                                 (Std. err. adjusted for 135 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1544249   .0686696    -2.25   0.026    -.2902414   -.0186084
       _cons |   1.92e-19   5.47e-19     0.35   0.727    -8.91e-19    1.27e-18
------------------------------------------------------------------------------
(sum of wgt is 230)

Linear regression                               Number of obs     =      7,989
                                                F(1, 137)         =       5.83
                                                Prob > F          =     0.0171
                                                R-squared         =     0.0055
                                                Root MSE          =     .18953

                                 (Std. err. adjusted for 138 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1663701   .0688959    -2.41   0.017     -.302607   -.0301332
       _cons |   1.28e-19   4.86e-19     0.26   0.793    -8.34e-19    1.09e-18
------------------------------------------------------------------------------
(sum of wgt is 236)

Linear regression                               Number of obs     =      8,067
                                                F(1, 141)         =       4.55
                                                Prob > F          =     0.0347
                                                R-squared         =     0.0042
                                                Root MSE          =     .19059

                                 (Std. err. adjusted for 142 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1458945   .0684085    -2.13   0.035    -.2811333   -.0106556
       _cons |  -1.15e-19   5.92e-19    -0.19   0.847    -1.28e-18    1.06e-18
------------------------------------------------------------------------------
(sum of wgt is 242)

Linear regression                               Number of obs     =      8,370
                                                F(1, 141)         =       4.59
                                                Prob > F          =     0.0339
                                                R-squared         =     0.0041
                                                Root MSE          =     .19029

                                 (Std. err. adjusted for 142 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1446622   .0675317    -2.14   0.034    -.2781677   -.0111567
       _cons |  -3.55e-19   5.00e-19    -0.71   0.479    -1.34e-18    6.33e-19
------------------------------------------------------------------------------
(sum of wgt is 245)

Linear regression                               Number of obs     =      8,401
                                                F(1, 142)         =       5.14
                                                Prob > F          =     0.0249
                                                R-squared         =     0.0045
                                                Root MSE          =     .19111

                                 (Std. err. adjusted for 143 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1505772   .0664413    -2.27   0.025     -.281919   -.0192353
       _cons |   1.67e-20   5.41e-19     0.03   0.975    -1.05e-18    1.09e-18
------------------------------------------------------------------------------
(sum of wgt is 247)

Linear regression                               Number of obs     =      8,418
                                                F(1, 143)         =       5.07
                                                Prob > F          =     0.0258
                                                R-squared         =     0.0043
                                                Root MSE          =     .19178

                                 (Std. err. adjusted for 144 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1469354   .0652248    -2.25   0.026    -.2758648   -.0180059
       _cons |   3.00e-19   5.72e-19     0.52   0.601    -8.31e-19    1.43e-18
------------------------------------------------------------------------------
(sum of wgt is 250)

Linear regression                               Number of obs     =      8,478
                                                F(1, 144)         =       5.26
                                                Prob > F          =     0.0233
                                                R-squared         =     0.0044
                                                Root MSE          =     .19113

                                 (Std. err. adjusted for 145 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1486116   .0648197    -2.29   0.023    -.2767326   -.0204906
       _cons |  -5.78e-20   5.75e-19    -0.10   0.920    -1.19e-18    1.08e-18
------------------------------------------------------------------------------
(sum of wgt is 254)

Linear regression                               Number of obs     =      8,803
                                                F(1, 146)         =       5.89
                                                Prob > F          =     0.0164
                                                R-squared         =     0.0048
                                                Root MSE          =     .19219

                                 (Std. err. adjusted for 147 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1567196   .0645585    -2.43   0.016    -.2843095   -.0291297
       _cons |   2.58e-19   5.90e-19     0.44   0.662    -9.08e-19    1.42e-18
------------------------------------------------------------------------------
(sum of wgt is 258)

Linear regression                               Number of obs     =      8,897
                                                F(1, 147)         =       5.76
                                                Prob > F          =     0.0176
                                                R-squared         =     0.0047
                                                Root MSE          =     .19155

                                 (Std. err. adjusted for 148 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1536931    .064037    -2.40   0.018    -.2802452    -.027141
       _cons |  -2.46e-20   5.36e-19    -0.05   0.963    -1.08e-18    1.04e-18
------------------------------------------------------------------------------
(sum of wgt is 262)

Linear regression                               Number of obs     =      9,005
                                                F(1, 149)         =       5.46
                                                Prob > F          =     0.0208
                                                R-squared         =     0.0043
                                                Root MSE          =     .19151

                                 (Std. err. adjusted for 150 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1484655   .0635656    -2.34   0.021     -.274072   -.0228589
       _cons |   2.10e-19   4.59e-19     0.46   0.648    -6.98e-19    1.12e-18
------------------------------------------------------------------------------
(sum of wgt is 263)

Linear regression                               Number of obs     =      9,010
                                                F(1, 150)         =       4.83
                                                Prob > F          =     0.0294
                                                R-squared         =     0.0038
                                                Root MSE          =     .19251

                                 (Std. err. adjusted for 151 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1407419    .064008    -2.20   0.029    -.2672156   -.0142682
       _cons |   7.64e-20   5.73e-19     0.13   0.894    -1.06e-18    1.21e-18
------------------------------------------------------------------------------
(sum of wgt is 266)

Linear regression                               Number of obs     =      9,075
                                                F(1, 152)         =       5.24
                                                Prob > F          =     0.0235
                                                R-squared         =     0.0042
                                                Root MSE          =     .19211

                                 (Std. err. adjusted for 153 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1459858   .0637767    -2.29   0.023     -.271989   -.0199827
       _cons |   4.66e-19   4.90e-19     0.95   0.343    -5.02e-19    1.43e-18
------------------------------------------------------------------------------
(sum of wgt is 267)

Linear regression                               Number of obs     =      9,088
                                                F(1, 152)         =       5.45
                                                Prob > F          =     0.0209
                                                R-squared         =     0.0043
                                                Root MSE          =     .19243

                                 (Std. err. adjusted for 153 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1485365   .0636458    -2.33   0.021    -.2742811   -.0227918
       _cons |   1.55e-19   5.23e-19     0.30   0.767    -8.77e-19    1.19e-18
------------------------------------------------------------------------------
(sum of wgt is 276)

Linear regression                               Number of obs     =      9,288
                                                F(1, 155)         =       5.50
                                                Prob > F          =     0.0202
                                                R-squared         =     0.0040
                                                Root MSE          =     .19283

                                 (Std. err. adjusted for 156 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1437203   .0612562    -2.35   0.020    -.2647251   -.0227155
       _cons |   4.49e-19   4.99e-19     0.90   0.370    -5.37e-19    1.44e-18
------------------------------------------------------------------------------
(sum of wgt is 278)

Linear regression                               Number of obs     =      9,317
                                                F(1, 155)         =       6.07
                                                Prob > F          =     0.0149
                                                R-squared         =     0.0043
                                                Root MSE          =     .19296

                                 (Std. err. adjusted for 156 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1478487   .0600341    -2.46   0.015    -.2664393   -.0292581
       _cons |  -1.09e-19   4.91e-19    -0.22   0.825    -1.08e-18    8.61e-19
------------------------------------------------------------------------------
(sum of wgt is 280)

Linear regression                               Number of obs     =      9,346
                                                F(1, 155)         =       6.24
                                                Prob > F          =     0.0135
                                                R-squared         =     0.0042
                                                Root MSE          =     .19344

                                 (Std. err. adjusted for 156 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1467399   .0587247    -2.50   0.014    -.2627439    -.030736
       _cons |   1.22e-19   5.44e-19     0.22   0.823    -9.52e-19    1.20e-18
------------------------------------------------------------------------------
(sum of wgt is 282)

Linear regression                               Number of obs     =      9,393
                                                F(1, 155)         =       6.50
                                                Prob > F          =     0.0118
                                                R-squared         =     0.0044
                                                Root MSE          =     .19374

                                 (Std. err. adjusted for 156 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1494171   .0586083    -2.55   0.012    -.2651912    -.033643
       _cons |   1.69e-19   5.26e-19     0.32   0.748    -8.70e-19    1.21e-18
------------------------------------------------------------------------------
(sum of wgt is 282)

Linear regression                               Number of obs     =      9,393
                                                F(1, 155)         =       6.50
                                                Prob > F          =     0.0118
                                                R-squared         =     0.0044
                                                Root MSE          =     .19374

                                 (Std. err. adjusted for 156 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1494171   .0586083    -2.55   0.012    -.2651912    -.033643
       _cons |   1.69e-19   5.26e-19     0.32   0.748    -8.70e-19    1.21e-18
------------------------------------------------------------------------------
(sum of wgt is 286)

Linear regression                               Number of obs     =      9,428
                                                F(1, 156)         =       5.69
                                                Prob > F          =     0.0183
                                                R-squared         =     0.0038
                                                Root MSE          =      .1949

                                 (Std. err. adjusted for 157 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1402196   .0587854    -2.39   0.018    -.2563377   -.0241015
       _cons |   2.36e-19   6.68e-19     0.35   0.724    -1.08e-18    1.56e-18
------------------------------------------------------------------------------
(sum of wgt is 287)

Linear regression                               Number of obs     =      9,437
                                                F(1, 157)         =       6.29
                                                Prob > F          =     0.0132
                                                R-squared         =     0.0042
                                                Root MSE          =     .19492

                                 (Std. err. adjusted for 158 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1472197    .058709    -2.51   0.013    -.2631811   -.0312584
       _cons |   3.42e-20   5.29e-19     0.06   0.949    -1.01e-18    1.08e-18
------------------------------------------------------------------------------
(sum of wgt is 289)

Linear regression                               Number of obs     =      9,481
                                                F(1, 157)         =       6.32
                                                Prob > F          =     0.0129
                                                R-squared         =     0.0042
                                                Root MSE          =     .19524

                                 (Std. err. adjusted for 158 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1469638   .0584526    -2.51   0.013    -.2624188   -.0315088
       _cons |   2.18e-19   6.05e-19     0.36   0.719    -9.76e-19    1.41e-18
------------------------------------------------------------------------------
(sum of wgt is 292)

Linear regression                               Number of obs     =      9,530
                                                F(1, 159)         =       7.05
                                                Prob > F          =     0.0087
                                                R-squared         =     0.0046
                                                Root MSE          =     .19562

                                 (Std. err. adjusted for 160 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1532445   .0577226    -2.65   0.009    -.2672463   -.0392426
       _cons |   2.03e-19   5.16e-19     0.39   0.694    -8.16e-19    1.22e-18
------------------------------------------------------------------------------
(sum of wgt is 296)

Linear regression                               Number of obs     =      9,590
                                                F(1, 160)         =       7.32
                                                Prob > F          =     0.0075
                                                R-squared         =     0.0046
                                                Root MSE          =     .19632

                                 (Std. err. adjusted for 161 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1552169   .0573543    -2.71   0.008     -.268486   -.0419478
       _cons |   2.33e-19   5.20e-19     0.45   0.655    -7.94e-19    1.26e-18
------------------------------------------------------------------------------
(sum of wgt is 297)

Linear regression                               Number of obs     =      9,643
                                                F(1, 160)         =       7.31
                                                Prob > F          =     0.0076
                                                R-squared         =     0.0046
                                                Root MSE          =     .19602

                                 (Std. err. adjusted for 161 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |   -.154968    .057325    -2.70   0.008    -.2681792   -.0417567
       _cons |   3.24e-19   4.75e-19     0.68   0.496    -6.14e-19    1.26e-18
------------------------------------------------------------------------------
(sum of wgt is 300)

Linear regression                               Number of obs     =      9,764
                                                F(1, 160)         =       7.63
                                                Prob > F          =     0.0064
                                                R-squared         =     0.0047
                                                Root MSE          =     .19612

                                 (Std. err. adjusted for 161 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1568704   .0567972    -2.76   0.006    -.2690393   -.0447015
       _cons |   9.24e-20   5.21e-19     0.18   0.859    -9.36e-19    1.12e-18
------------------------------------------------------------------------------
(sum of wgt is 307)

Linear regression                               Number of obs     =      9,894
                                                F(1, 162)         =       8.87
                                                Prob > F          =     0.0033
                                                R-squared         =     0.0053
                                                Root MSE          =     .19679

                                 (Std. err. adjusted for 163 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1657989   .0556699    -2.98   0.003    -.2757312   -.0558666
       _cons |   1.79e-19   5.37e-19     0.33   0.739    -8.82e-19    1.24e-18
------------------------------------------------------------------------------
(sum of wgt is 308)

Linear regression                               Number of obs     =      9,917
                                                F(1, 162)         =       8.81
                                                Prob > F          =     0.0034
                                                R-squared         =     0.0052
                                                Root MSE          =     .19656

                                 (Std. err. adjusted for 163 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1650229   .0555838    -2.97   0.003    -.2747851   -.0552608
       _cons |   2.15e-19   5.66e-19     0.38   0.704    -9.02e-19    1.33e-18
------------------------------------------------------------------------------
(sum of wgt is 310)

Linear regression                               Number of obs     =      9,940
                                                F(1, 163)         =       7.94
                                                Prob > F          =     0.0054
                                                R-squared         =     0.0047
                                                Root MSE          =     .19724

                                 (Std. err. adjusted for 164 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |   -.156071   .0553743    -2.82   0.005    -.2654144   -.0467276
       _cons |   1.39e-19   5.15e-19     0.27   0.788    -8.78e-19    1.16e-18
------------------------------------------------------------------------------
(sum of wgt is 312)

Linear regression                               Number of obs     =      9,959
                                                F(1, 163)         =       7.49
                                                Prob > F          =     0.0069
                                                R-squared         =     0.0043
                                                Root MSE          =     .19796

                                 (Std. err. adjusted for 164 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1501684   .0548877    -2.74   0.007    -.2585509   -.0417858
       _cons |   2.12e-19   5.38e-19     0.39   0.694    -8.51e-19    1.27e-18
------------------------------------------------------------------------------
(sum of wgt is 318)

Linear regression                               Number of obs     =     10,033
                                                F(1, 165)         =       8.09
                                                Prob > F          =     0.0050
                                                R-squared         =     0.0044
                                                Root MSE          =     .19939

                                 (Std. err. adjusted for 166 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1511723   .0531624    -2.84   0.005    -.2561385   -.0462061
       _cons |   4.20e-19   4.96e-19     0.85   0.398    -5.59e-19    1.40e-18
------------------------------------------------------------------------------
(sum of wgt is 322)

Linear regression                               Number of obs     =     10,155
                                                F(1, 166)         =       7.93
                                                Prob > F          =     0.0055
                                                R-squared         =     0.0043
                                                Root MSE          =     .19917

                                 (Std. err. adjusted for 167 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1494044   .0530564    -2.82   0.005    -.2541567   -.0446521
       _cons |   2.63e-19   4.74e-19     0.56   0.579    -6.72e-19    1.20e-18
------------------------------------------------------------------------------
(sum of wgt is 324)

Linear regression                               Number of obs     =     10,234
                                                F(1, 166)         =       8.14
                                                Prob > F          =     0.0049
                                                R-squared         =     0.0043
                                                Root MSE          =     .19878

                                 (Std. err. adjusted for 167 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |   -.150946   .0528969    -2.85   0.005    -.2553835   -.0465086
       _cons |   3.90e-19   5.24e-19     0.75   0.457    -6.44e-19    1.42e-18
------------------------------------------------------------------------------
(sum of wgt is 328)

Linear regression                               Number of obs     =     10,301
                                                F(1, 166)         =       8.47
                                                Prob > F          =     0.0041
                                                R-squared         =     0.0044
                                                Root MSE          =     .19853

                                 (Std. err. adjusted for 167 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1528834   .0525411    -2.91   0.004    -.2566184   -.0491485
       _cons |   2.65e-19   5.08e-19     0.52   0.602    -7.38e-19    1.27e-18
------------------------------------------------------------------------------
(sum of wgt is 330)

Linear regression                               Number of obs     =     10,325
                                                F(1, 166)         =       6.53
                                                Prob > F          =     0.0115
                                                R-squared         =     0.0037
                                                Root MSE          =     .19856

                                 (Std. err. adjusted for 167 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1392499   .0545008    -2.56   0.012     -.246854   -.0316459
       _cons |   3.32e-19   4.51e-19     0.74   0.463    -5.58e-19    1.22e-18
------------------------------------------------------------------------------
(sum of wgt is 331)

Linear regression                               Number of obs     =     10,356
                                                F(1, 166)         =       6.54
                                                Prob > F          =     0.0115
                                                R-squared         =     0.0037
                                                Root MSE          =     .19829

                                 (Std. err. adjusted for 167 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1391718   .0544262    -2.56   0.011    -.2466287   -.0317149
       _cons |   2.90e-19   5.62e-19     0.52   0.606    -8.20e-19    1.40e-18
------------------------------------------------------------------------------
(sum of wgt is 334)

Linear regression                               Number of obs     =     10,419
                                                F(1, 166)         =       7.06
                                                Prob > F          =     0.0086
                                                R-squared         =     0.0041
                                                Root MSE          =     .19877

                                 (Std. err. adjusted for 167 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1461916   .0550053    -2.66   0.009    -.2547918   -.0375915
       _cons |   3.12e-19   5.33e-19     0.59   0.559    -7.40e-19    1.36e-18
------------------------------------------------------------------------------
(sum of wgt is 335)

Linear regression                               Number of obs     =     10,428
                                                F(1, 166)         =       6.82
                                                Prob > F          =     0.0098
                                                R-squared         =     0.0039
                                                Root MSE          =     .19888

                                 (Std. err. adjusted for 167 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1432598   .0548564    -2.61   0.010    -.2515658   -.0349537
       _cons |   2.31e-19   5.24e-19     0.44   0.659    -8.03e-19    1.27e-18
------------------------------------------------------------------------------
(sum of wgt is 339)

Linear regression                               Number of obs     =     10,487
                                                F(1, 167)         =       7.64
                                                Prob > F          =     0.0064
                                                R-squared         =     0.0053
                                                Root MSE          =      .1998

                                 (Std. err. adjusted for 168 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1663705   .0602016    -2.76   0.006    -.2852248   -.0475162
       _cons |   6.31e-19   5.25e-19     1.20   0.231    -4.05e-19    1.67e-18
------------------------------------------------------------------------------
(sum of wgt is 343)

Linear regression                               Number of obs     =     10,539
                                                F(1, 168)         =       7.13
                                                Prob > F          =     0.0083
                                                R-squared         =     0.0049
                                                Root MSE          =     .19987

                                 (Std. err. adjusted for 169 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1599271   .0598886    -2.67   0.008    -.2781583   -.0416959
       _cons |   2.79e-19   5.27e-19     0.53   0.597    -7.62e-19    1.32e-18
------------------------------------------------------------------------------
(sum of wgt is 345)

Linear regression                               Number of obs     =     10,604
                                                F(1, 170)         =       7.53
                                                Prob > F          =     0.0067
                                                R-squared         =     0.0051
                                                Root MSE          =     .19992

                                 (Std. err. adjusted for 171 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1641886   .0598532    -2.74   0.007    -.2823398   -.0460373
       _cons |   2.01e-19   5.24e-19     0.38   0.702    -8.33e-19    1.23e-18
------------------------------------------------------------------------------
(sum of wgt is 348)

Linear regression                               Number of obs     =     10,661
                                                F(1, 171)         =       6.83
                                                Prob > F          =     0.0098
                                                R-squared         =     0.0048
                                                Root MSE          =     .20056

                                 (Std. err. adjusted for 172 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1579976    .060459    -2.61   0.010    -.2773397   -.0386556
       _cons |   4.90e-19   4.44e-19     1.10   0.272    -3.87e-19    1.37e-18
------------------------------------------------------------------------------
(sum of wgt is 348)

Linear regression                               Number of obs     =     10,661
                                                F(1, 171)         =       6.83
                                                Prob > F          =     0.0098
                                                R-squared         =     0.0048
                                                Root MSE          =     .20056

                                 (Std. err. adjusted for 172 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1579976    .060459    -2.61   0.010    -.2773397   -.0386556
       _cons |   4.90e-19   4.44e-19     1.10   0.272    -3.87e-19    1.37e-18
------------------------------------------------------------------------------
(sum of wgt is 350)

Linear regression                               Number of obs     =     10,672
                                                F(1, 173)         =       7.71
                                                Prob > F          =     0.0061
                                                R-squared         =     0.0061
                                                Root MSE          =     .20138

                                 (Std. err. adjusted for 174 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |   -.177619   .0639627    -2.78   0.006    -.3038667   -.0513713
       _cons |   5.22e-20   4.88e-19     0.11   0.915    -9.10e-19    1.01e-18
------------------------------------------------------------------------------
(sum of wgt is 351)

Linear regression                               Number of obs     =     10,688
                                                F(1, 174)         =       7.73
                                                Prob > F          =     0.0060
                                                R-squared         =     0.0061
                                                Root MSE          =     .20149

                                 (Std. err. adjusted for 175 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1773925   .0638189    -2.78   0.006    -.3033513   -.0514337
       _cons |   1.27e-19   5.16e-19     0.25   0.806    -8.92e-19    1.15e-18
------------------------------------------------------------------------------
(sum of wgt is 354)

Linear regression                               Number of obs     =     10,774
                                                F(1, 175)         =       7.88
                                                Prob > F          =     0.0056
                                                R-squared         =     0.0061
                                                Root MSE          =     .20143

                                 (Std. err. adjusted for 176 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1780094   .0634255    -2.81   0.006    -.3031868    -.052832
       _cons |   4.84e-19   4.65e-19     1.04   0.300    -4.34e-19    1.40e-18
------------------------------------------------------------------------------
(sum of wgt is 358)

Linear regression                               Number of obs     =     10,806
                                                F(1, 178)         =       7.78
                                                Prob > F          =     0.0059
                                                R-squared         =     0.0060
                                                Root MSE          =     .20311

                                 (Std. err. adjusted for 179 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1780486    .063843    -2.79   0.006    -.3040352    -.052062
       _cons |   5.09e-19   4.86e-19     1.05   0.296    -4.50e-19    1.47e-18
------------------------------------------------------------------------------
(sum of wgt is 360)

Linear regression                               Number of obs     =     10,828
                                                F(1, 179)         =       7.68
                                                Prob > F          =     0.0062
                                                R-squared         =     0.0059
                                                Root MSE          =     .20341

                                 (Std. err. adjusted for 180 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1757573   .0634159    -2.77   0.006    -.3008963   -.0506183
       _cons |   2.38e-19   5.44e-19     0.44   0.662    -8.36e-19    1.31e-18
------------------------------------------------------------------------------
(sum of wgt is 363)

Linear regression                               Number of obs     =     10,893
                                                F(1, 182)         =       7.45
                                                Prob > F          =     0.0070
                                                R-squared         =     0.0057
                                                Root MSE          =     .20306

                                 (Std. err. adjusted for 183 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |   -.172069   .0630482    -2.73   0.007    -.2964683   -.0476696
       _cons |  -7.85e-20   6.01e-19    -0.13   0.896    -1.26e-18    1.11e-18
------------------------------------------------------------------------------
(sum of wgt is 364)

Linear regression                               Number of obs     =     10,921
                                                F(1, 182)         =       7.48
                                                Prob > F          =     0.0068
                                                R-squared         =     0.0057
                                                Root MSE          =     .20296

                                 (Std. err. adjusted for 183 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1722578   .0629685    -2.74   0.007       -.2965   -.0480156
       _cons |   6.39e-19   4.51e-19     1.42   0.158    -2.51e-19    1.53e-18
------------------------------------------------------------------------------
(sum of wgt is 368)

Linear regression                               Number of obs     =     10,972
                                                F(1, 184)         =       7.30
                                                Prob > F          =     0.0076
                                                R-squared         =     0.0054
                                                Root MSE          =     .20343

                                 (Std. err. adjusted for 185 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1685042   .0623771    -2.70   0.008    -.2915705   -.0454378
       _cons |   4.77e-19   5.68e-19     0.84   0.403    -6.45e-19    1.60e-18
------------------------------------------------------------------------------
(sum of wgt is 370)

Linear regression                               Number of obs     =     11,021
                                                F(1, 185)         =       7.62
                                                Prob > F          =     0.0063
                                                R-squared         =     0.0056
                                                Root MSE          =     .20316

                                 (Std. err. adjusted for 186 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1707459   .0618383    -2.76   0.006    -.2927448    -.048747
       _cons |   3.06e-19   4.88e-19     0.63   0.531    -6.56e-19    1.27e-18
------------------------------------------------------------------------------
(sum of wgt is 372)

Linear regression                               Number of obs     =     11,078
                                                F(1, 186)         =       7.39
                                                Prob > F          =     0.0072
                                                R-squared         =     0.0054
                                                Root MSE          =     .20297

                                 (Std. err. adjusted for 187 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1676809    .061689    -2.72   0.007     -.289381   -.0459807
       _cons |   5.39e-19   5.11e-19     1.05   0.293    -4.70e-19    1.55e-18
------------------------------------------------------------------------------
(sum of wgt is 373)

Linear regression                               Number of obs     =     11,087
                                                F(1, 186)         =       7.54
                                                Prob > F          =     0.0066
                                                R-squared         =     0.0055
                                                Root MSE          =     .20317

                                 (Std. err. adjusted for 187 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1687638   .0614753    -2.75   0.007    -.2900423   -.0474853
       _cons |   6.82e-19   5.22e-19     1.31   0.193    -3.48e-19    1.71e-18
------------------------------------------------------------------------------
(sum of wgt is 373)

Linear regression                               Number of obs     =     11,087
                                                F(1, 186)         =       7.54
                                                Prob > F          =     0.0066
                                                R-squared         =     0.0055
                                                Root MSE          =     .20317

                                 (Std. err. adjusted for 187 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1687638   .0614753    -2.75   0.007    -.2900423   -.0474853
       _cons |   6.82e-19   5.22e-19     1.31   0.193    -3.48e-19    1.71e-18
------------------------------------------------------------------------------
(sum of wgt is 375)

Linear regression                               Number of obs     =     11,118
                                                F(1, 187)         =       7.51
                                                Prob > F          =     0.0067
                                                R-squared         =     0.0054
                                                Root MSE          =     .20335

                                 (Std. err. adjusted for 188 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1677428    .061222    -2.74   0.007    -.2885173   -.0469683
       _cons |   3.03e-19   4.90e-19     0.62   0.537    -6.64e-19    1.27e-18
------------------------------------------------------------------------------
(sum of wgt is 377)

Linear regression                               Number of obs     =     11,168
                                                F(1, 187)         =       6.90
                                                Prob > F          =     0.0093
                                                R-squared         =     0.0049
                                                Root MSE          =     .20358

                                 (Std. err. adjusted for 188 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1592242   .0606222    -2.63   0.009    -.2788156   -.0396329
       _cons |   4.83e-19   4.74e-19     1.02   0.309    -4.52e-19    1.42e-18
------------------------------------------------------------------------------
(sum of wgt is 378)

Linear regression                               Number of obs     =     11,176
                                                F(1, 188)         =       7.44
                                                Prob > F          =     0.0070
                                                R-squared         =     0.0052
                                                Root MSE          =     .20383

                                 (Std. err. adjusted for 189 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1657659    .060784    -2.73   0.007    -.2856723   -.0458596
       _cons |   3.83e-19   5.50e-19     0.70   0.487    -7.02e-19    1.47e-18
------------------------------------------------------------------------------
(sum of wgt is 378)

Linear regression                               Number of obs     =     11,176
                                                F(1, 188)         =       7.44
                                                Prob > F          =     0.0070
                                                R-squared         =     0.0052
                                                Root MSE          =     .20383

                                 (Std. err. adjusted for 189 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1657659    .060784    -2.73   0.007    -.2856723   -.0458596
       _cons |   3.83e-19   5.50e-19     0.70   0.487    -7.02e-19    1.47e-18
------------------------------------------------------------------------------
(sum of wgt is 378)

Linear regression                               Number of obs     =     11,176
                                                F(1, 188)         =       7.44
                                                Prob > F          =     0.0070
                                                R-squared         =     0.0052
                                                Root MSE          =     .20383

                                 (Std. err. adjusted for 189 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1657659    .060784    -2.73   0.007    -.2856723   -.0458596
       _cons |   3.83e-19   5.50e-19     0.70   0.487    -7.02e-19    1.47e-18
------------------------------------------------------------------------------
(sum of wgt is 379)

Linear regression                               Number of obs     =     11,192
                                                F(1, 188)         =       7.43
                                                Prob > F          =     0.0070
                                                R-squared         =     0.0052
                                                Root MSE          =     .20394

                                 (Std. err. adjusted for 189 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1651457   .0605938    -2.73   0.007    -.2846769   -.0456146
       _cons |   5.65e-19   5.38e-19     1.05   0.295    -4.96e-19    1.63e-18
------------------------------------------------------------------------------
(sum of wgt is 381)

Linear regression                               Number of obs     =     11,222
                                                F(1, 188)         =       6.80
                                                Prob > F          =     0.0098
                                                R-squared         =     0.0047
                                                Root MSE          =     .20431

                                 (Std. err. adjusted for 189 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1571507   .0602533    -2.61   0.010    -.2760103   -.0382912
       _cons |   3.93e-19   4.99e-19     0.79   0.431    -5.90e-19    1.38e-18
------------------------------------------------------------------------------
file bw_all_area_multi.gph saved
(1,642 missing values generated)
(sum of wgt is 30)

Linear regression                               Number of obs     =      1,380
                                                F(1, 28)          =       1.09
                                                Prob > F          =     0.3061
                                                R-squared         =     0.0048
                                                Root MSE          =     .18643

                                  (Std. err. adjusted for 29 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1750856   .1679467    -1.04   0.306    -.5191088    .1689376
       _cons |   7.43e-20   1.02e-18     0.07   0.942    -2.02e-18    2.16e-18
------------------------------------------------------------------------------
(sum of wgt is 33)

Linear regression                               Number of obs     =      1,460
                                                F(1, 30)          =       1.99
                                                Prob > F          =     0.1685
                                                R-squared         =     0.0065
                                                Root MSE          =     .19727

                                  (Std. err. adjusted for 31 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |   -.207183   .1468284    -1.41   0.169    -.5070466    .0926805
       _cons |   1.28e-18   1.21e-18     1.06   0.299    -1.19e-18    3.76e-18
------------------------------------------------------------------------------
(sum of wgt is 40)

Linear regression                               Number of obs     =      1,576
                                                F(1, 36)          =       5.89
                                                Prob > F          =     0.0204
                                                R-squared         =     0.0130
                                                Root MSE          =     .20616

                                  (Std. err. adjusted for 37 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.2623454   .1081267    -2.43   0.020    -.4816366   -.0430543
       _cons |   6.50e-19   1.34e-18     0.48   0.631    -2.07e-18    3.37e-18
------------------------------------------------------------------------------
(sum of wgt is 44)

Linear regression                               Number of obs     =      1,667
                                                F(1, 40)          =       5.84
                                                Prob > F          =     0.0203
                                                R-squared         =     0.0111
                                                Root MSE          =     .20547

                                  (Std. err. adjusted for 41 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.2451716   .1014216    -2.42   0.020    -.4501523   -.0401909
       _cons |  -2.09e-19   1.04e-18    -0.20   0.842    -2.31e-18    1.89e-18
------------------------------------------------------------------------------
(sum of wgt is 52)

Linear regression                               Number of obs     =      1,833
                                                F(1, 46)          =       4.08
                                                Prob > F          =     0.0492
                                                R-squared         =     0.0067
                                                Root MSE          =     .20211

                                  (Std. err. adjusted for 47 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1894192   .0937386    -2.02   0.049    -.3781052   -.0007332
       _cons |   1.03e-18   9.51e-19     1.09   0.283    -8.81e-19    2.95e-18
------------------------------------------------------------------------------
(sum of wgt is 56)

Linear regression                               Number of obs     =      2,196
                                                F(1, 49)          =       4.24
                                                Prob > F          =     0.0449
                                                R-squared         =     0.0066
                                                Root MSE          =     .19557

                                  (Std. err. adjusted for 50 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1821432   .0884793    -2.06   0.045     -.359949   -.0043373
       _cons |   9.73e-20   1.20e-18     0.08   0.936    -2.32e-18    2.51e-18
------------------------------------------------------------------------------
(sum of wgt is 57)

Linear regression                               Number of obs     =      2,300
                                                F(1, 50)          =       4.23
                                                Prob > F          =     0.0450
                                                R-squared         =     0.0065
                                                Root MSE          =     .19389

                                  (Std. err. adjusted for 51 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1817179   .0883653    -2.06   0.045    -.3592048    -.004231
       _cons |   5.73e-19   9.62e-19     0.60   0.554    -1.36e-18    2.51e-18
------------------------------------------------------------------------------
(sum of wgt is 63)

Linear regression                               Number of obs     =      2,494
                                                F(1, 54)          =       6.05
                                                Prob > F          =     0.0171
                                                R-squared         =     0.0085
                                                Root MSE          =     .19835

                                  (Std. err. adjusted for 55 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.2074567   .0843386    -2.46   0.017    -.3765455   -.0383679
       _cons |   2.01e-19   1.06e-18     0.19   0.850    -1.92e-18    2.32e-18
------------------------------------------------------------------------------
(sum of wgt is 66)

Linear regression                               Number of obs     =      2,615
                                                F(1, 57)          =       5.93
                                                Prob > F          =     0.0180
                                                R-squared         =     0.0079
                                                Root MSE          =     .19715

                                  (Std. err. adjusted for 58 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.2010026   .0825146    -2.44   0.018    -.3662352   -.0357699
       _cons |   9.36e-19   8.74e-19     1.07   0.288    -8.13e-19    2.69e-18
------------------------------------------------------------------------------
(sum of wgt is 77)

Linear regression                               Number of obs     =      2,888
                                                F(1, 65)          =       6.64
                                                Prob > F          =     0.0122
                                                R-squared         =     0.0081
                                                Root MSE          =     .19348

                                  (Std. err. adjusted for 66 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.2041457   .0792025    -2.58   0.012    -.3623241   -.0459673
       _cons |   4.81e-19   9.11e-19     0.53   0.599    -1.34e-18    2.30e-18
------------------------------------------------------------------------------
(sum of wgt is 80)

Linear regression                               Number of obs     =      2,926
                                                F(1, 66)          =       8.61
                                                Prob > F          =     0.0046
                                                R-squared         =     0.0098
                                                Root MSE          =     .19532

                                  (Std. err. adjusted for 67 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.2273592   .0774924    -2.93   0.005    -.3820778   -.0726406
       _cons |   1.04e-18   8.52e-19     1.22   0.226    -6.59e-19    2.74e-18
------------------------------------------------------------------------------
(sum of wgt is 90)

Linear regression                               Number of obs     =      3,196
                                                F(1, 72)          =       8.79
                                                Prob > F          =     0.0041
                                                R-squared         =     0.0119
                                                Root MSE          =     .19408

                                  (Std. err. adjusted for 73 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.2512216   .0847514    -2.96   0.004    -.4201706   -.0822727
       _cons |   6.28e-19   7.20e-19     0.87   0.386    -8.07e-19    2.06e-18
------------------------------------------------------------------------------
(sum of wgt is 97)

Linear regression                               Number of obs     =      3,358
                                                F(1, 77)          =      11.68
                                                Prob > F          =     0.0010
                                                R-squared         =     0.0147
                                                Root MSE          =     .19363

                                  (Std. err. adjusted for 78 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.2807927   .0821634    -3.42   0.001     -.444401   -.1171844
       _cons |   4.37e-19   7.27e-19     0.60   0.550    -1.01e-18    1.88e-18
------------------------------------------------------------------------------
(sum of wgt is 104)

Linear regression                               Number of obs     =      3,537
                                                F(1, 82)          =       9.77
                                                Prob > F          =     0.0024
                                                R-squared         =     0.0196
                                                Root MSE          =     .19558

                                  (Std. err. adjusted for 83 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.3273298   .1047007    -3.13   0.002    -.5356129   -.1190467
       _cons |   1.56e-20   7.94e-19     0.02   0.984    -1.56e-18    1.60e-18
------------------------------------------------------------------------------
(sum of wgt is 115)

Linear regression                               Number of obs     =      4,283
                                                F(1, 86)          =       9.72
                                                Prob > F          =     0.0025
                                                R-squared         =     0.0175
                                                Root MSE          =     .19257

                                  (Std. err. adjusted for 87 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.3016629   .0967519    -3.12   0.002    -.4939992   -.1093266
       _cons |   3.55e-19   5.91e-19     0.60   0.550    -8.20e-19    1.53e-18
------------------------------------------------------------------------------
(sum of wgt is 124)

Linear regression                               Number of obs     =      4,512
                                                F(1, 92)          =       8.64
                                                Prob > F          =     0.0041
                                                R-squared         =     0.0143
                                                Root MSE          =      .1912

                                  (Std. err. adjusted for 93 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.2734854   .0930149    -2.94   0.004     -.458221   -.0887497
       _cons |   4.50e-19   7.35e-19     0.61   0.542    -1.01e-18    1.91e-18
------------------------------------------------------------------------------
(sum of wgt is 126)

Linear regression                               Number of obs     =      4,566
                                                F(1, 94)          =       8.58
                                                Prob > F          =     0.0043
                                                R-squared         =     0.0140
                                                Root MSE          =      .1905

                                  (Std. err. adjusted for 95 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.2707724    .092446    -2.93   0.004    -.4543262   -.0872186
       _cons |   4.27e-19   8.21e-19     0.52   0.604    -1.20e-18    2.06e-18
------------------------------------------------------------------------------
(sum of wgt is 131)

Linear regression                               Number of obs     =      4,668
                                                F(1, 97)          =       8.22
                                                Prob > F          =     0.0051
                                                R-squared         =     0.0128
                                                Root MSE          =     .18945

                                  (Std. err. adjusted for 98 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.2574322    .089812    -2.87   0.005    -.4356842   -.0791802
       _cons |   7.73e-20   6.61e-19     0.12   0.907    -1.23e-18    1.39e-18
------------------------------------------------------------------------------
(sum of wgt is 139)

Linear regression                               Number of obs     =      4,960
                                                F(1, 100)         =       8.50
                                                Prob > F          =     0.0044
                                                R-squared         =     0.0127
                                                Root MSE          =     .18809

                                 (Std. err. adjusted for 101 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.2583602   .0885981    -2.92   0.004    -.4341362   -.0825841
       _cons |   7.64e-19   6.66e-19     1.15   0.254    -5.57e-19    2.09e-18
------------------------------------------------------------------------------
(sum of wgt is 143)

Linear regression                               Number of obs     =      5,126
                                                F(1, 103)         =       8.45
                                                Prob > F          =     0.0045
                                                R-squared         =     0.0123
                                                Root MSE          =     .18672

                                 (Std. err. adjusted for 104 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.2553289   .0878586    -2.91   0.004    -.4295758   -.0810821
       _cons |   7.02e-19   9.72e-19     0.72   0.472    -1.23e-18    2.63e-18
------------------------------------------------------------------------------
(sum of wgt is 149)

Linear regression                               Number of obs     =      5,286
                                                F(1, 106)         =       8.34
                                                Prob > F          =     0.0047
                                                R-squared         =     0.0118
                                                Root MSE          =     .18385

                                 (Std. err. adjusted for 107 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |   -.246703   .0854066    -2.89   0.005    -.4160298   -.0773761
       _cons |   1.65e-19   6.44e-19     0.26   0.799    -1.11e-18    1.44e-18
------------------------------------------------------------------------------
(sum of wgt is 150)

Linear regression                               Number of obs     =      5,450
                                                F(1, 107)         =       8.35
                                                Prob > F          =     0.0047
                                                R-squared         =     0.0118
                                                Root MSE          =     .18325

                                 (Std. err. adjusted for 108 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.2467263   .0853634    -2.89   0.005    -.4159492   -.0775034
       _cons |   5.51e-20   7.67e-19     0.07   0.943    -1.47e-18    1.58e-18
------------------------------------------------------------------------------
(sum of wgt is 155)

Linear regression                               Number of obs     =      5,613
                                                F(1, 108)         =       7.27
                                                Prob > F          =     0.0081
                                                R-squared         =     0.0101
                                                Root MSE          =     .18245

                                 (Std. err. adjusted for 109 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.2273131   .0842883    -2.70   0.008    -.3943871    -.060239
       _cons |   5.07e-19   6.95e-19     0.73   0.468    -8.71e-19    1.88e-18
------------------------------------------------------------------------------
(sum of wgt is 158)

Linear regression                               Number of obs     =      5,687
                                                F(1, 109)         =       7.65
                                                Prob > F          =     0.0067
                                                R-squared         =     0.0103
                                                Root MSE          =     .18223

                                 (Std. err. adjusted for 110 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.2289378   .0827982    -2.77   0.007    -.3930412   -.0648343
       _cons |   2.80e-19   6.33e-19     0.44   0.658    -9.74e-19    1.53e-18
------------------------------------------------------------------------------
(sum of wgt is 162)

Linear regression                               Number of obs     =      5,879
                                                F(1, 110)         =       6.95
                                                Prob > F          =     0.0096
                                                R-squared         =     0.0092
                                                Root MSE          =     .18223

                                 (Std. err. adjusted for 111 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |   -.216071   .0819447    -2.64   0.010    -.3784661   -.0536759
       _cons |  -1.47e-19   6.37e-19    -0.23   0.818    -1.41e-18    1.11e-18
------------------------------------------------------------------------------
(sum of wgt is 169)

Linear regression                               Number of obs     =      6,041
                                                F(1, 113)         =       7.45
                                                Prob > F          =     0.0074
                                                R-squared         =     0.0091
                                                Root MSE          =     .18396

                                 (Std. err. adjusted for 114 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.2167685    .079408    -2.73   0.007      -.37409    -.059447
       _cons |  -3.88e-19   6.14e-19    -0.63   0.529    -1.61e-18    8.29e-19
------------------------------------------------------------------------------
(sum of wgt is 173)

Linear regression                               Number of obs     =      6,116
                                                F(1, 115)         =       6.15
                                                Prob > F          =     0.0146
                                                R-squared         =     0.0075
                                                Root MSE          =     .18562

                                 (Std. err. adjusted for 116 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1983479   .0799793    -2.48   0.015    -.3567715   -.0399243
       _cons |  -1.20e-19   4.90e-19    -0.25   0.806    -1.09e-18    8.50e-19
------------------------------------------------------------------------------
(sum of wgt is 177)

Linear regression                               Number of obs     =      6,172
                                                F(1, 116)         =       6.53
                                                Prob > F          =     0.0119
                                                R-squared         =     0.0074
                                                Root MSE          =     .18745

                                 (Std. err. adjusted for 117 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1965775    .076935    -2.56   0.012     -.348957    -.044198
       _cons |  -3.05e-19   7.22e-19    -0.42   0.673    -1.73e-18    1.12e-18
------------------------------------------------------------------------------
(sum of wgt is 178)

Linear regression                               Number of obs     =      6,222
                                                F(1, 116)         =       6.55
                                                Prob > F          =     0.0118
                                                R-squared         =     0.0074
                                                Root MSE          =     .18707

                                 (Std. err. adjusted for 117 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |   -.196703   .0768617    -2.56   0.012    -.3489373   -.0444688
       _cons |   2.41e-20   6.06e-19     0.04   0.968    -1.18e-18    1.22e-18
------------------------------------------------------------------------------
(sum of wgt is 183)

Linear regression                               Number of obs     =      6,729
                                                F(1, 116)         =       7.41
                                                Prob > F          =     0.0075
                                                R-squared         =     0.0079
                                                Root MSE          =     .18718

                                 (Std. err. adjusted for 117 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.2013408   .0739511    -2.72   0.007    -.3478103   -.0548713
       _cons |  -1.87e-19   7.34e-19    -0.26   0.799    -1.64e-18    1.27e-18
------------------------------------------------------------------------------
(sum of wgt is 190)

Linear regression                               Number of obs     =      6,823
                                                F(1, 121)         =       7.42
                                                Prob > F          =     0.0074
                                                R-squared         =     0.0072
                                                Root MSE          =     .18926

                                 (Std. err. adjusted for 122 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1926781   .0707182    -2.72   0.007    -.3326835   -.0526727
       _cons |   6.30e-20   6.05e-19     0.10   0.917    -1.13e-18    1.26e-18
------------------------------------------------------------------------------
(sum of wgt is 194)

Linear regression                               Number of obs     =      6,906
                                                F(1, 123)         =       7.40
                                                Prob > F          =     0.0075
                                                R-squared         =     0.0070
                                                Root MSE          =     .18925

                                 (Std. err. adjusted for 124 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1903435   .0699526    -2.72   0.007    -.3288104   -.0518766
       _cons |   1.08e-19   6.24e-19     0.17   0.863    -1.13e-18    1.34e-18
------------------------------------------------------------------------------
(sum of wgt is 200)

Linear regression                               Number of obs     =      7,344
                                                F(1, 124)         =       7.47
                                                Prob > F          =     0.0072
                                                R-squared         =     0.0070
                                                Root MSE          =     .18832

                                 (Std. err. adjusted for 125 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1909012   .0698338    -2.73   0.007    -.3291219   -.0526806
       _cons |   2.18e-19   6.97e-19     0.31   0.755    -1.16e-18    1.60e-18
------------------------------------------------------------------------------
(sum of wgt is 201)

Linear regression                               Number of obs     =      7,357
                                                F(1, 125)         =       7.75
                                                Prob > F          =     0.0062
                                                R-squared         =     0.0072
                                                Root MSE          =     .18843

                                 (Std. err. adjusted for 126 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1937109   .0695698    -2.78   0.006    -.3313982   -.0560235
       _cons |  -2.85e-20   5.97e-19    -0.05   0.962    -1.21e-18    1.15e-18
------------------------------------------------------------------------------
(sum of wgt is 205)

Linear regression                               Number of obs     =      7,466
                                                F(1, 127)         =       6.44
                                                Prob > F          =     0.0124
                                                R-squared         =     0.0061
                                                Root MSE          =     .18861

                                 (Std. err. adjusted for 128 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1775539   .0699602    -2.54   0.012    -.3159925   -.0391152
       _cons |  -3.70e-19   5.65e-19    -0.66   0.513    -1.49e-18    7.47e-19
------------------------------------------------------------------------------
(sum of wgt is 210)

Linear regression                               Number of obs     =      7,595
                                                F(1, 130)         =       7.46
                                                Prob > F          =     0.0072
                                                R-squared         =     0.0071
                                                Root MSE          =     .18851

                                 (Std. err. adjusted for 131 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |   -.190842   .0698757    -2.73   0.007    -.3290827   -.0526014
       _cons |  -8.21e-20   5.82e-19    -0.14   0.888    -1.23e-18    1.07e-18
------------------------------------------------------------------------------
(sum of wgt is 215)

Linear regression                               Number of obs     =      7,666
                                                F(1, 133)         =       5.88
                                                Prob > F          =     0.0167
                                                R-squared         =     0.0056
                                                Root MSE          =      .1895

                                 (Std. err. adjusted for 134 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1694671   .0699074    -2.42   0.017    -.3077413   -.0311929
       _cons |   2.75e-19   5.57e-19     0.49   0.623    -8.27e-19    1.38e-18
------------------------------------------------------------------------------
(sum of wgt is 220)

Linear regression                               Number of obs     =      7,959
                                                F(1, 133)         =       5.94
                                                Prob > F          =     0.0161
                                                R-squared         =     0.0056
                                                Root MSE          =     .18858

                                 (Std. err. adjusted for 134 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1686749   .0691949    -2.44   0.016    -.3055397     -.03181
       _cons |   1.15e-19   5.84e-19     0.20   0.844    -1.04e-18    1.27e-18
------------------------------------------------------------------------------
(sum of wgt is 223)

Linear regression                               Number of obs     =      7,990
                                                F(1, 134)         =       6.60
                                                Prob > F          =     0.0113
                                                R-squared         =     0.0060
                                                Root MSE          =      .1895

                                 (Std. err. adjusted for 135 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1747618   .0680144    -2.57   0.011    -.3092825   -.0402411
       _cons |   1.31e-19   5.77e-19     0.23   0.821    -1.01e-18    1.27e-18
------------------------------------------------------------------------------
(sum of wgt is 225)

Linear regression                               Number of obs     =      8,007
                                                F(1, 135)         =       6.50
                                                Prob > F          =     0.0119
                                                R-squared         =     0.0057
                                                Root MSE          =     .19027

                                 (Std. err. adjusted for 136 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |   -.170081   .0667128    -2.55   0.012    -.3020185   -.0381435
       _cons |   9.97e-20   5.45e-19     0.18   0.855    -9.77e-19    1.18e-18
------------------------------------------------------------------------------
(sum of wgt is 226)

Linear regression                               Number of obs     =      8,023
                                                F(1, 135)         =       6.60
                                                Prob > F          =     0.0113
                                                R-squared         =     0.0058
                                                Root MSE          =     .19002

                                 (Std. err. adjusted for 136 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1705892   .0663917    -2.57   0.011    -.3018915   -.0392868
       _cons |  -3.47e-20   5.51e-19    -0.06   0.950    -1.13e-18    1.06e-18
------------------------------------------------------------------------------
(sum of wgt is 230)

Linear regression                               Number of obs     =      8,348
                                                F(1, 137)         =       7.36
                                                Prob > F          =     0.0075
                                                R-squared         =     0.0063
                                                Root MSE          =     .19122

                                 (Std. err. adjusted for 138 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1792878   .0660851    -2.71   0.008    -.3099666    -.048609
       _cons |   2.51e-20   5.48e-19     0.05   0.963    -1.06e-18    1.11e-18
------------------------------------------------------------------------------
(sum of wgt is 232)

Linear regression                               Number of obs     =      8,404
                                                F(1, 138)         =       7.48
                                                Prob > F          =     0.0071
                                                R-squared         =     0.0063
                                                Root MSE          =     .19102

                                 (Std. err. adjusted for 139 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1794539   .0656351    -2.73   0.007    -.3092345   -.0496734
       _cons |  -4.87e-20   5.43e-19    -0.09   0.929    -1.12e-18    1.03e-18
------------------------------------------------------------------------------
(sum of wgt is 235)

Linear regression                               Number of obs     =      8,474
                                                F(1, 140)         =       7.07
                                                Prob > F          =     0.0087
                                                R-squared         =     0.0059
                                                Root MSE          =     .19132

                                 (Std. err. adjusted for 141 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1734424   .0652127    -2.66   0.009    -.3023715   -.0445134
       _cons |  -1.13e-19   5.24e-19    -0.22   0.830    -1.15e-18    9.24e-19
------------------------------------------------------------------------------
(sum of wgt is 236)

Linear regression                               Number of obs     =      8,479
                                                F(1, 141)         =       6.27
                                                Prob > F          =     0.0134
                                                R-squared         =     0.0052
                                                Root MSE          =     .19243

                                 (Std. err. adjusted for 142 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1647246   .0657985    -2.50   0.013    -.2948037   -.0346454
       _cons |  -1.08e-20   4.84e-19    -0.02   0.982    -9.67e-19    9.45e-19
------------------------------------------------------------------------------
(sum of wgt is 238)

Linear regression                               Number of obs     =      8,537
                                                F(1, 142)         =       6.10
                                                Prob > F          =     0.0147
                                                R-squared         =     0.0051
                                                Root MSE          =     .19188

                                 (Std. err. adjusted for 143 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1619243   .0655852    -2.47   0.015    -.2915738   -.0322748
       _cons |  -8.31e-20   5.09e-19    -0.16   0.871    -1.09e-18    9.24e-19
------------------------------------------------------------------------------
(sum of wgt is 239)

Linear regression                               Number of obs     =      8,550
                                                F(1, 142)         =       6.34
                                                Prob > F          =     0.0129
                                                R-squared         =     0.0052
                                                Root MSE          =     .19223

                                 (Std. err. adjusted for 143 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1647628   .0654198    -2.52   0.013    -.2940855   -.0354402
       _cons |   3.16e-19   5.25e-19     0.60   0.549    -7.23e-19    1.35e-18
------------------------------------------------------------------------------
(sum of wgt is 245)

Linear regression                               Number of obs     =      8,649
                                                F(1, 145)         =       5.47
                                                Prob > F          =     0.0207
                                                R-squared         =     0.0044
                                                Root MSE          =     .19309

                                 (Std. err. adjusted for 146 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1526692   .0652586    -2.34   0.021    -.2816501   -.0236883
       _cons |   2.28e-19   4.97e-19     0.46   0.647    -7.54e-19    1.21e-18
------------------------------------------------------------------------------
(sum of wgt is 247)

Linear regression                               Number of obs     =      8,678
                                                F(1, 145)         =       6.09
                                                Prob > F          =     0.0147
                                                R-squared         =     0.0047
                                                Root MSE          =     .19323

                                 (Std. err. adjusted for 146 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1573074   .0637245    -2.47   0.015    -.2832563   -.0313586
       _cons |   2.61e-19   4.82e-19     0.54   0.589    -6.91e-19    1.21e-18
------------------------------------------------------------------------------
(sum of wgt is 250)

Linear regression                               Number of obs     =      8,780
                                                F(1, 145)         =       6.29
                                                Prob > F          =     0.0132
                                                R-squared         =     0.0047
                                                Root MSE          =     .19341

                                 (Std. err. adjusted for 146 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1557276   .0620703    -2.51   0.013     -.278407   -.0330481
       _cons |   3.03e-19   5.35e-19     0.57   0.572    -7.55e-19    1.36e-18
------------------------------------------------------------------------------
(sum of wgt is 252)

Linear regression                               Number of obs     =      8,827
                                                F(1, 145)         =       6.57
                                                Prob > F          =     0.0114
                                                R-squared         =     0.0048
                                                Root MSE          =     .19375

                                 (Std. err. adjusted for 146 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1587098   .0619091    -2.56   0.011    -.2810707   -.0363489
       _cons |   1.70e-19   5.55e-19     0.31   0.760    -9.28e-19    1.27e-18
------------------------------------------------------------------------------
(sum of wgt is 252)

Linear regression                               Number of obs     =      8,827
                                                F(1, 145)         =       6.57
                                                Prob > F          =     0.0114
                                                R-squared         =     0.0048
                                                Root MSE          =     .19375

                                 (Std. err. adjusted for 146 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1587098   .0619091    -2.56   0.011    -.2810707   -.0363489
       _cons |   1.70e-19   5.55e-19     0.31   0.760    -9.28e-19    1.27e-18
------------------------------------------------------------------------------
(sum of wgt is 255)

Linear regression                               Number of obs     =      8,856
                                                F(1, 145)         =       5.63
                                                Prob > F          =     0.0189
                                                R-squared         =     0.0043
                                                Root MSE          =     .19413

                                 (Std. err. adjusted for 146 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1495013   .0629795    -2.37   0.019    -.2739776    -.025025
       _cons |   5.08e-19   4.95e-19     1.03   0.307    -4.71e-19    1.49e-18
------------------------------------------------------------------------------
(sum of wgt is 255)

Linear regression                               Number of obs     =      8,856
                                                F(1, 145)         =       5.63
                                                Prob > F          =     0.0189
                                                R-squared         =     0.0043
                                                Root MSE          =     .19413

                                 (Std. err. adjusted for 146 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1495013   .0629795    -2.37   0.019    -.2739776    -.025025
       _cons |   5.08e-19   4.95e-19     1.03   0.307    -4.71e-19    1.49e-18
------------------------------------------------------------------------------
(sum of wgt is 257)

Linear regression                               Number of obs     =      8,918
                                                F(1, 145)         =       5.71
                                                Prob > F          =     0.0182
                                                R-squared         =     0.0043
                                                Root MSE          =     .19359

                                 (Std. err. adjusted for 146 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1498753    .062744    -2.39   0.018    -.2738862   -.0258643
       _cons |   1.03e-19   6.98e-19     0.15   0.883    -1.28e-18    1.48e-18
------------------------------------------------------------------------------
(sum of wgt is 259)

Linear regression                               Number of obs     =      8,961
                                                F(1, 146)         =       5.75
                                                Prob > F          =     0.0177
                                                R-squared         =     0.0043
                                                Root MSE          =     .19342

                                 (Std. err. adjusted for 147 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1499246   .0625162    -2.40   0.018    -.2734783   -.0263709
       _cons |   3.24e-19   4.67e-19     0.69   0.488    -5.98e-19    1.25e-18
------------------------------------------------------------------------------
(sum of wgt is 263)

Linear regression                               Number of obs     =      9,020
                                                F(1, 147)         =       6.83
                                                Prob > F          =     0.0099
                                                R-squared         =     0.0049
                                                Root MSE          =      .1941

                                 (Std. err. adjusted for 148 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1604059   .0613677    -2.61   0.010    -.2816828   -.0391289
       _cons |   1.08e-19   5.92e-19     0.18   0.856    -1.06e-18    1.28e-18
------------------------------------------------------------------------------
(sum of wgt is 264)

Linear regression                               Number of obs     =      9,073
                                                F(1, 147)         =       6.82
                                                Prob > F          =     0.0100
                                                R-squared         =     0.0049
                                                Root MSE          =     .19377

                                 (Std. err. adjusted for 148 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1601138    .061333    -2.61   0.010    -.2813221   -.0389055
       _cons |   5.86e-19   5.46e-19     1.07   0.284    -4.92e-19    1.67e-18
------------------------------------------------------------------------------
(sum of wgt is 267)

Linear regression                               Number of obs     =      9,194
                                                F(1, 147)         =       7.15
                                                Prob > F          =     0.0083
                                                R-squared         =     0.0050
                                                Root MSE          =      .1939

                                 (Std. err. adjusted for 148 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1622508   .0606658    -2.67   0.008    -.2821407    -.042361
       _cons |   4.21e-19   5.84e-19     0.72   0.472    -7.33e-19    1.57e-18
------------------------------------------------------------------------------
(sum of wgt is 272)

Linear regression                               Number of obs     =      9,301
                                                F(1, 149)         =       8.43
                                                Prob > F          =     0.0042
                                                R-squared         =     0.0059
                                                Root MSE          =     .19459

                                 (Std. err. adjusted for 150 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1748066    .060189    -2.90   0.004    -.2937407   -.0558724
       _cons |   1.70e-19   4.97e-19     0.34   0.733    -8.12e-19    1.15e-18
------------------------------------------------------------------------------
(sum of wgt is 272)

Linear regression                               Number of obs     =      9,301
                                                F(1, 149)         =       8.43
                                                Prob > F          =     0.0042
                                                R-squared         =     0.0059
                                                Root MSE          =     .19459

                                 (Std. err. adjusted for 150 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1748066    .060189    -2.90   0.004    -.2937407   -.0558724
       _cons |   1.70e-19   4.97e-19     0.34   0.733    -8.12e-19    1.15e-18
------------------------------------------------------------------------------
(sum of wgt is 274)

Linear regression                               Number of obs     =      9,327
                                                F(1, 151)         =       7.90
                                                Prob > F          =     0.0056
                                                R-squared         =     0.0055
                                                Root MSE          =     .19482

                                 (Std. err. adjusted for 152 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1688644   .0600816    -2.81   0.006    -.2875735   -.0501553
       _cons |   2.69e-19   5.84e-19     0.46   0.646    -8.84e-19    1.42e-18
------------------------------------------------------------------------------
(sum of wgt is 276)

Linear regression                               Number of obs     =      9,346
                                                F(1, 152)         =       7.36
                                                Prob > F          =     0.0074
                                                R-squared         =     0.0050
                                                Root MSE          =     .19566

                                 (Std. err. adjusted for 153 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1619143   .0596863    -2.71   0.007    -.2798361   -.0439925
       _cons |   1.99e-19   5.01e-19     0.40   0.692    -7.91e-19    1.19e-18
------------------------------------------------------------------------------
(sum of wgt is 280)

Linear regression                               Number of obs     =      9,390
                                                F(1, 154)         =       7.14
                                                Prob > F          =     0.0083
                                                R-squared         =     0.0046
                                                Root MSE          =     .19708

                                 (Std. err. adjusted for 155 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1549581   .0579737    -2.67   0.008    -.2694844   -.0404319
       _cons |   4.28e-19   5.30e-19     0.81   0.421    -6.19e-19    1.47e-18
------------------------------------------------------------------------------
(sum of wgt is 283)

Linear regression                               Number of obs     =      9,492
                                                F(1, 155)         =       7.06
                                                Prob > F          =     0.0087
                                                R-squared         =     0.0045
                                                Root MSE          =     .19681

                                 (Std. err. adjusted for 156 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1539457   .0579193    -2.66   0.009    -.2683588   -.0395326
       _cons |   5.11e-19   5.49e-19     0.93   0.353    -5.72e-19    1.60e-18
------------------------------------------------------------------------------
(sum of wgt is 287)

Linear regression                               Number of obs     =      9,596
                                                F(1, 155)         =       6.01
                                                Prob > F          =     0.0153
                                                R-squared         =     0.0041
                                                Root MSE          =     .19647

                                 (Std. err. adjusted for 156 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1461052   .0595991    -2.45   0.015    -.2638365   -.0283739
       _cons |   1.74e-19   5.85e-19     0.30   0.767    -9.82e-19    1.33e-18
------------------------------------------------------------------------------
(sum of wgt is 289)

Linear regression                               Number of obs     =      9,628
                                                F(1, 155)         =       5.95
                                                Prob > F          =     0.0158
                                                R-squared         =     0.0040
                                                Root MSE          =     .19638

                                 (Std. err. adjusted for 156 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1448814   .0593826    -2.44   0.016    -.2621849   -.0275778
       _cons |   1.23e-19   6.95e-19     0.18   0.860    -1.25e-18    1.50e-18
------------------------------------------------------------------------------
(sum of wgt is 291)

Linear regression                               Number of obs     =      9,652
                                                F(1, 155)         =       4.42
                                                Prob > F          =     0.0372
                                                R-squared         =     0.0032
                                                Root MSE          =     .19643

                                 (Std. err. adjusted for 156 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1292833   .0615011    -2.10   0.037    -.2507717   -.0077949
       _cons |   9.87e-20   5.07e-19     0.19   0.846    -9.04e-19    1.10e-18
------------------------------------------------------------------------------
(sum of wgt is 292)

Linear regression                               Number of obs     =      9,683
                                                F(1, 155)         =       4.43
                                                Prob > F          =     0.0370
                                                R-squared         =     0.0032
                                                Root MSE          =     .19613

                                 (Std. err. adjusted for 156 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1292091   .0614033    -2.10   0.037    -.2505043   -.0079139
       _cons |   2.82e-20   5.11e-19     0.06   0.956    -9.81e-19    1.04e-18
------------------------------------------------------------------------------
(sum of wgt is 294)

Linear regression                               Number of obs     =      9,742
                                                F(1, 155)         =       4.38
                                                Prob > F          =     0.0381
                                                R-squared         =     0.0032
                                                Root MSE          =     .19564

                                 (Std. err. adjusted for 156 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1280788   .0612277    -2.09   0.038    -.2490273   -.0071303
       _cons |  -6.13e-20   5.60e-19    -0.11   0.913    -1.17e-18    1.04e-18
------------------------------------------------------------------------------
(sum of wgt is 295)

Linear regression                               Number of obs     =      9,751
                                                F(1, 155)         =       4.18
                                                Prob > F          =     0.0426
                                                R-squared         =     0.0030
                                                Root MSE          =     .19577

                                 (Std. err. adjusted for 156 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1247183   .0610074    -2.04   0.043    -.2452315   -.0042052
       _cons |   1.34e-19   5.02e-19     0.27   0.790    -8.57e-19    1.12e-18
------------------------------------------------------------------------------
(sum of wgt is 301)

Linear regression                               Number of obs     =      9,849
                                                F(1, 157)         =       4.95
                                                Prob > F          =     0.0276
                                                R-squared         =     0.0041
                                                Root MSE          =     .19708

                                 (Std. err. adjusted for 158 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1464325   .0658434    -2.22   0.028    -.2764856   -.0163794
       _cons |   3.83e-19   4.93e-19     0.78   0.439    -5.91e-19    1.36e-18
------------------------------------------------------------------------------
(sum of wgt is 303)

Linear regression                               Number of obs     =      9,871
                                                F(1, 158)         =       4.41
                                                Prob > F          =     0.0373
                                                R-squared         =     0.0037
                                                Root MSE          =     .19738

                                 (Std. err. adjusted for 159 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1380262   .0657166    -2.10   0.037    -.2678225   -.0082299
       _cons |   4.32e-19   5.96e-19     0.73   0.469    -7.44e-19    1.61e-18
------------------------------------------------------------------------------
(sum of wgt is 304)

Linear regression                               Number of obs     =      9,927
                                                F(1, 159)         =       4.41
                                                Prob > F          =     0.0373
                                                R-squared         =     0.0037
                                                Root MSE          =      .1971

                                 (Std. err. adjusted for 160 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1379627   .0656886    -2.10   0.037    -.2676974    -.008228
       _cons |   1.18e-19   5.66e-19     0.21   0.835    -1.00e-18    1.24e-18
------------------------------------------------------------------------------
(sum of wgt is 308)

Linear regression                               Number of obs     =      9,983
                                                F(1, 159)         =       3.81
                                                Prob > F          =     0.0528
                                                R-squared         =     0.0032
                                                Root MSE          =     .19814

                                 (Std. err. adjusted for 160 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1284399   .0658354    -1.95   0.053    -.2584646    .0015849
       _cons |   4.89e-19   5.80e-19     0.84   0.400    -6.56e-19    1.63e-18
------------------------------------------------------------------------------
(sum of wgt is 309)

Linear regression                               Number of obs     =     10,056
                                                F(1, 159)         =       3.81
                                                Prob > F          =     0.0527
                                                R-squared         =     0.0032
                                                Root MSE          =     .19784

                                 (Std. err. adjusted for 160 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1284515   .0658166    -1.95   0.053     -.258439    .0015359
       _cons |   2.32e-19   5.33e-19     0.43   0.664    -8.21e-19    1.28e-18
------------------------------------------------------------------------------
(sum of wgt is 313)

Linear regression                               Number of obs     =     10,097
                                                F(1, 161)         =       4.70
                                                Prob > F          =     0.0316
                                                R-squared         =     0.0045
                                                Root MSE          =     .19874

                                 (Std. err. adjusted for 162 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |   -.151372   .0698272    -2.17   0.032    -.2892673   -.0134768
       _cons |   3.28e-19   4.96e-19     0.66   0.509    -6.51e-19    1.31e-18
------------------------------------------------------------------------------
(sum of wgt is 317)

Linear regression                               Number of obs     =     10,195
                                                F(1, 162)         =       4.62
                                                Prob > F          =     0.0331
                                                R-squared         =     0.0044
                                                Root MSE          =     .19838

                                 (Std. err. adjusted for 163 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1491975   .0694301    -2.15   0.033    -.2863022   -.0120929
       _cons |   2.96e-19   5.26e-19     0.56   0.575    -7.43e-19    1.33e-18
------------------------------------------------------------------------------
(sum of wgt is 322)

Linear regression                               Number of obs     =     10,324
                                                F(1, 162)         =       5.22
                                                Prob > F          =     0.0237
                                                R-squared         =     0.0048
                                                Root MSE          =     .19886

                                 (Std. err. adjusted for 163 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1558165     .06823    -2.28   0.024    -.2905514   -.0210816
       _cons |   2.53e-19   5.15e-19     0.49   0.624    -7.65e-19    1.27e-18
------------------------------------------------------------------------------
(sum of wgt is 324)

Linear regression                               Number of obs     =     10,340
                                                F(1, 164)         =       4.73
                                                Prob > F          =     0.0310
                                                R-squared         =     0.0043
                                                Root MSE          =     .19988

                                 (Std. err. adjusted for 165 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1481314   .0680848    -2.18   0.031    -.2825672   -.0136956
       _cons |   3.54e-19   5.09e-19     0.70   0.488    -6.51e-19    1.36e-18
------------------------------------------------------------------------------
(sum of wgt is 326)

Linear regression                               Number of obs     =     10,353
                                                F(1, 165)         =       5.35
                                                Prob > F          =     0.0220
                                                R-squared         =     0.0048
                                                Root MSE          =      .2012

                                 (Std. err. adjusted for 166 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1581753   .0684097    -2.31   0.022    -.2932466    -.023104
       _cons |   4.96e-19   5.56e-19     0.89   0.373    -6.02e-19    1.59e-18
------------------------------------------------------------------------------
(sum of wgt is 330)

Linear regression                               Number of obs     =     10,425
                                                F(1, 169)         =       5.10
                                                Prob > F          =     0.0252
                                                R-squared         =     0.0045
                                                Root MSE          =     .20139

                                 (Std. err. adjusted for 170 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1534275   .0679241    -2.26   0.025    -.2875164   -.0193386
       _cons |   1.83e-19   4.99e-19     0.37   0.714    -8.01e-19    1.17e-18
------------------------------------------------------------------------------
(sum of wgt is 331)

Linear regression                               Number of obs     =     10,453
                                                F(1, 169)         =       5.13
                                                Prob > F          =     0.0248
                                                R-squared         =     0.0045
                                                Root MSE          =     .20129

                                 (Std. err. adjusted for 170 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1536637   .0678283    -2.27   0.025    -.2875637   -.0197638
       _cons |   2.11e-19   5.70e-19     0.37   0.712    -9.15e-19    1.34e-18
------------------------------------------------------------------------------
(sum of wgt is 332)

Linear regression                               Number of obs     =     10,461
                                                F(1, 169)         =       4.93
                                                Prob > F          =     0.0277
                                                R-squared         =     0.0043
                                                Root MSE          =      .2018

                                 (Std. err. adjusted for 170 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1500973   .0676061    -2.22   0.028    -.2835585   -.0166362
       _cons |   6.71e-19   5.64e-19     1.19   0.236    -4.42e-19    1.78e-18
------------------------------------------------------------------------------
(sum of wgt is 336)

Linear regression                               Number of obs     =     10,552
                                                F(1, 170)         =       5.15
                                                Prob > F          =     0.0245
                                                R-squared         =     0.0044
                                                Root MSE          =     .20133

                                 (Std. err. adjusted for 171 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1515317   .0667782    -2.27   0.025     -.283353   -.0197104
       _cons |   6.25e-19   5.34e-19     1.17   0.244    -4.29e-19    1.68e-18
------------------------------------------------------------------------------
(sum of wgt is 339)

Linear regression                               Number of obs     =     10,619
                                                F(1, 171)         =       4.89
                                                Prob > F          =     0.0283
                                                R-squared         =     0.0042
                                                Root MSE          =     .20097

                                 (Std. err. adjusted for 172 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1470985   .0664942    -2.21   0.028    -.2783535   -.0158434
       _cons |   7.64e-19   4.85e-19     1.58   0.117    -1.93e-19    1.72e-18
------------------------------------------------------------------------------
(sum of wgt is 341)

Linear regression                               Number of obs     =     10,634
                                                F(1, 171)         =       5.01
                                                Prob > F          =     0.0265
                                                R-squared         =     0.0042
                                                Root MSE          =     .20185

                                 (Std. err. adjusted for 172 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |   -.147335   .0658274    -2.24   0.026     -.277274    -.017396
       _cons |   1.61e-19   4.82e-19     0.33   0.739    -7.91e-19    1.11e-18
------------------------------------------------------------------------------
(sum of wgt is 342)

Linear regression                               Number of obs     =     10,644
                                                F(1, 171)         =       4.86
                                                Prob > F          =     0.0289
                                                R-squared         =     0.0040
                                                Root MSE          =     .20223

                                 (Std. err. adjusted for 172 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |   -.144307   .0654743    -2.20   0.029    -.2735489   -.0150651
       _cons |   6.39e-19   5.81e-19     1.10   0.273    -5.08e-19    1.79e-18
------------------------------------------------------------------------------
(sum of wgt is 344)

Linear regression                               Number of obs     =     10,675
                                                F(1, 172)         =       4.83
                                                Prob > F          =     0.0292
                                                R-squared         =     0.0039
                                                Root MSE          =     .20243

                                 (Std. err. adjusted for 173 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1432993   .0651744    -2.20   0.029    -.2719438   -.0146547
       _cons |   4.88e-19   5.94e-19     0.82   0.412    -6.84e-19    1.66e-18
------------------------------------------------------------------------------
(sum of wgt is 345)

Linear regression                               Number of obs     =     10,716
                                                F(1, 172)         =       4.82
                                                Prob > F          =     0.0295
                                                R-squared         =     0.0039
                                                Root MSE          =     .20223

                                 (Std. err. adjusted for 173 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1429324    .065125    -2.19   0.030    -.2714796   -.0143852
       _cons |   1.74e-19   5.45e-19     0.32   0.750    -9.03e-19    1.25e-18
------------------------------------------------------------------------------
(sum of wgt is 346)

Linear regression                               Number of obs     =     10,724
                                                F(1, 173)         =       5.29
                                                Prob > F          =     0.0226
                                                R-squared         =     0.0043
                                                Root MSE          =     .20251

                                 (Std. err. adjusted for 174 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1502271   .0653086    -2.30   0.023    -.2791314   -.0213228
       _cons |   1.76e-19   4.92e-19     0.36   0.721    -7.95e-19    1.15e-18
------------------------------------------------------------------------------
(sum of wgt is 347)

Linear regression                               Number of obs     =     10,736
                                                F(1, 174)         =       5.24
                                                Prob > F          =     0.0233
                                                R-squared         =     0.0042
                                                Root MSE          =     .20273

                                 (Std. err. adjusted for 175 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1492923   .0652311    -2.29   0.023    -.2780382   -.0205463
       _cons |   6.34e-19   5.47e-19     1.16   0.248    -4.45e-19    1.71e-18
------------------------------------------------------------------------------
(sum of wgt is 347)

Linear regression                               Number of obs     =     10,736
                                                F(1, 174)         =       5.24
                                                Prob > F          =     0.0233
                                                R-squared         =     0.0042
                                                Root MSE          =     .20273

                                 (Std. err. adjusted for 175 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1492923   .0652311    -2.29   0.023    -.2780382   -.0205463
       _cons |   6.34e-19   5.47e-19     1.16   0.248    -4.45e-19    1.71e-18
------------------------------------------------------------------------------
(sum of wgt is 349)

Linear regression                               Number of obs     =     10,775
                                                F(1, 174)         =       5.23
                                                Prob > F          =     0.0234
                                                R-squared         =     0.0042
                                                Root MSE          =     .20266

                                 (Std. err. adjusted for 175 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |   -.148532   .0649617    -2.29   0.023    -.2767463   -.0203176
       _cons |   2.31e-19   4.92e-19     0.47   0.639    -7.41e-19    1.20e-18
------------------------------------------------------------------------------
(sum of wgt is 350)

Linear regression                               Number of obs     =     10,798
                                                F(1, 174)         =       5.29
                                                Prob > F          =     0.0227
                                                R-squared         =     0.0042
                                                Root MSE          =     .20249

                                 (Std. err. adjusted for 175 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1489914    .064786    -2.30   0.023    -.2768589   -.0211239
       _cons |   5.00e-19   6.15e-19     0.81   0.417    -7.13e-19    1.71e-18
------------------------------------------------------------------------------
file bw_bl_area_multi.gph saved
(1,642 missing values generated)
(sum of wgt is 48)

Linear regression                               Number of obs     =      1,571
                                                F(1, 44)          =       1.10
                                                Prob > F          =     0.3004
                                                R-squared         =     0.0069
                                                Root MSE          =     .13236

                                  (Std. err. adjusted for 45 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |   -.119356   .1139036    -1.05   0.300    -.3489135    .1102015
       _cons |   4.87e-19   7.02e-19     0.69   0.492    -9.28e-19    1.90e-18
------------------------------------------------------------------------------
(sum of wgt is 53)

Linear regression                               Number of obs     =      1,673
                                                F(1, 48)          =       1.26
                                                Prob > F          =     0.2670
                                                R-squared         =     0.0068
                                                Root MSE          =     .13083

                                  (Std. err. adjusted for 49 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1158121   .1031262    -1.12   0.267    -.3231613    .0915371
       _cons |   4.57e-19   9.44e-19     0.48   0.630    -1.44e-18    2.36e-18
------------------------------------------------------------------------------
(sum of wgt is 62)

Linear regression                               Number of obs     =      1,812
                                                F(1, 55)          =       2.47
                                                Prob > F          =     0.1220
                                                R-squared         =     0.0087
                                                Root MSE          =     .13239

                                  (Std. err. adjusted for 56 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1230265   .0783319    -1.57   0.122    -.2800072    .0339541
       _cons |   9.66e-19   7.54e-19     1.28   0.206    -5.45e-19    2.48e-18
------------------------------------------------------------------------------
(sum of wgt is 70)

Linear regression                               Number of obs     =      1,933
                                                F(1, 61)          =       2.96
                                                Prob > F          =     0.0907
                                                R-squared         =     0.0092
                                                Root MSE          =      .1332

                                  (Std. err. adjusted for 62 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1266078   .0736486    -1.72   0.091    -.2738772    .0206616
       _cons |   4.13e-19   6.53e-19     0.63   0.529    -8.92e-19    1.72e-18
------------------------------------------------------------------------------
(sum of wgt is 80)

Linear regression                               Number of obs     =      2,114
                                                F(1, 69)          =       4.08
                                                Prob > F          =     0.0474
                                                R-squared         =     0.0112
                                                Root MSE          =     .13174

                                  (Std. err. adjusted for 70 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1404729   .0695729    -2.02   0.047    -.2792671   -.0016788
       _cons |  -2.33e-19   5.82e-19    -0.40   0.690    -1.39e-18    9.28e-19
------------------------------------------------------------------------------
(sum of wgt is 87)

Linear regression                               Number of obs     =      2,523
                                                F(1, 75)          =       4.50
                                                Prob > F          =     0.0371
                                                R-squared         =     0.0115
                                                Root MSE          =     .12826

                                  (Std. err. adjusted for 76 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1406291   .0662588    -2.12   0.037    -.2726235   -.0086348
       _cons |  -3.09e-19   7.12e-19    -0.43   0.666    -1.73e-18    1.11e-18
------------------------------------------------------------------------------
(sum of wgt is 92)

Linear regression                               Number of obs     =      2,673
                                                F(1, 79)          =       4.98
                                                Prob > F          =     0.0285
                                                R-squared         =     0.0112
                                                Root MSE          =     .12949

                                  (Std. err. adjusted for 80 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1395352   .0625172    -2.23   0.028    -.2639726   -.0150978
       _cons |  -2.24e-19   5.86e-19    -0.38   0.703    -1.39e-18    9.43e-19
------------------------------------------------------------------------------
(sum of wgt is 100)

Linear regression                               Number of obs     =      2,883
                                                F(1, 84)          =       3.34
                                                Prob > F          =     0.0711
                                                R-squared         =     0.0065
                                                Root MSE          =     .12972

                                  (Std. err. adjusted for 85 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1046834   .0572586    -1.83   0.071    -.2185485    .0091817
       _cons |  -5.23e-19   5.34e-19    -0.98   0.330    -1.58e-18    5.38e-19
------------------------------------------------------------------------------
(sum of wgt is 105)

Linear regression                               Number of obs     =      3,015
                                                F(1, 86)          =       1.79
                                                Prob > F          =     0.1843
                                                R-squared         =     0.0034
                                                Root MSE          =     .12876

                                  (Std. err. adjusted for 87 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.0738836   .0551983    -1.34   0.184    -.1836142    .0358471
       _cons |   3.27e-19   5.87e-19     0.56   0.579    -8.40e-19    1.49e-18
------------------------------------------------------------------------------
(sum of wgt is 119)

Linear regression                               Number of obs     =      3,305
                                                F(1, 93)          =       1.84
                                                Prob > F          =     0.1780
                                                R-squared         =     0.0146
                                                Root MSE          =     .13631

                                  (Std. err. adjusted for 94 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1605668   .1183173    -1.36   0.178    -.3955216     .074388
       _cons |  -3.76e-19   6.15e-19    -0.61   0.542    -1.60e-18    8.45e-19
------------------------------------------------------------------------------
(sum of wgt is 127)

Linear regression                               Number of obs     =      3,391
                                                F(1, 97)          =       1.87
                                                Prob > F          =     0.1744
                                                R-squared         =     0.0133
                                                Root MSE          =     .13691

                                  (Std. err. adjusted for 98 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1540995   .1126198    -1.37   0.174    -.3776186    .0694195
       _cons |   2.82e-19   5.31e-19     0.53   0.596    -7.71e-19    1.34e-18
------------------------------------------------------------------------------
(sum of wgt is 140)

Linear regression                               Number of obs     =      3,680
                                                F(1, 104)         =       1.09
                                                Prob > F          =     0.2990
                                                R-squared         =     0.0070
                                                Root MSE          =     .13617

                                 (Std. err. adjusted for 105 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1114726   .1067889    -1.04   0.299     -.323239    .1002938
       _cons |  -1.45e-19   4.94e-19    -0.29   0.770    -1.12e-18    8.35e-19
------------------------------------------------------------------------------
(sum of wgt is 150)

Linear regression                               Number of obs     =      3,879
                                                F(1, 108)         =       1.30
                                                Prob > F          =     0.2567
                                                R-squared         =     0.0076
                                                Root MSE          =     .13505

                                 (Std. err. adjusted for 109 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |   -.116372   .1020624    -1.14   0.257    -.3186773    .0859333
       _cons |  -1.48e-19   4.56e-19    -0.33   0.746    -1.05e-18    7.55e-19
------------------------------------------------------------------------------
(sum of wgt is 160)

Linear regression                               Number of obs     =      4,088
                                                F(1, 113)         =       1.33
                                                Prob > F          =     0.2506
                                                R-squared         =     0.0067
                                                Root MSE          =     .13703

                                 (Std. err. adjusted for 114 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1117833   .0967971    -1.15   0.251    -.3035559    .0799892
       _cons |  -1.99e-20   4.64e-19    -0.04   0.966    -9.39e-19    8.99e-19
------------------------------------------------------------------------------
(sum of wgt is 181)

Linear regression                               Number of obs     =      4,962
                                                F(1, 123)         =       1.99
                                                Prob > F          =     0.1608
                                                R-squared         =     0.0084
                                                Root MSE          =     .13649

                                 (Std. err. adjusted for 124 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1244372   .0881889    -1.41   0.161    -.2990017    .0501273
       _cons |   1.97e-19   3.98e-19     0.49   0.622    -5.91e-19    9.84e-19
------------------------------------------------------------------------------
(sum of wgt is 192)

Linear regression                               Number of obs     =      5,202
                                                F(1, 129)         =       2.34
                                                Prob > F          =     0.1287
                                                R-squared         =     0.0088
                                                Root MSE          =     .13693

                                 (Std. err. adjusted for 130 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1288101   .0842393    -1.53   0.129    -.2954797    .0378595
       _cons |   3.08e-19   4.48e-19     0.69   0.493    -5.79e-19    1.20e-18
------------------------------------------------------------------------------
(sum of wgt is 197)

Linear regression                               Number of obs     =      5,256
                                                F(1, 132)         =       3.28
                                                Prob > F          =     0.0723
                                                R-squared         =     0.0112
                                                Root MSE          =      .1364

                                 (Std. err. adjusted for 133 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |   -.141356   .0780221    -1.81   0.072    -.2956914    .0129794
       _cons |  -3.20e-19   5.14e-19    -0.62   0.535    -1.34e-18    6.98e-19
------------------------------------------------------------------------------
(sum of wgt is 207)

Linear regression                               Number of obs     =      5,465
                                                F(1, 137)         =       2.45
                                                Prob > F          =     0.1195
                                                R-squared         =     0.0083
                                                Root MSE          =     .13662

                                 (Std. err. adjusted for 138 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1212666   .0774027    -1.57   0.119     -.274325    .0317919
       _cons |  -2.46e-19   4.94e-19    -0.50   0.619    -1.22e-18    7.31e-19
------------------------------------------------------------------------------
(sum of wgt is 220)

Linear regression                               Number of obs     =      5,732
                                                F(1, 140)         =       2.78
                                                Prob > F          =     0.0977
                                                R-squared         =     0.0086
                                                Root MSE          =     .13746

                                 (Std. err. adjusted for 141 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1242325   .0745087    -1.67   0.098    -.2715403    .0230752
       _cons |  -3.97e-19   4.36e-19    -0.91   0.365    -1.26e-18    4.66e-19
------------------------------------------------------------------------------
(sum of wgt is 225)

Linear regression                               Number of obs     =      5,904
                                                F(1, 143)         =       2.57
                                                Prob > F          =     0.1113
                                                R-squared         =     0.0079
                                                Root MSE          =     .13652

                                 (Std. err. adjusted for 144 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1192498   .0744159    -1.60   0.111    -.2663471    .0278475
       _cons |  -4.38e-19   5.09e-19    -0.86   0.390    -1.44e-18    5.67e-19
------------------------------------------------------------------------------
(sum of wgt is 232)

Linear regression                               Number of obs     =      6,076
                                                F(1, 146)         =       2.60
                                                Prob > F          =     0.1088
                                                R-squared         =     0.0078
                                                Root MSE          =     .13518

                                 (Std. err. adjusted for 147 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1183077   .0733232    -1.61   0.109    -.2632197    .0266042
       _cons |  -3.16e-19   6.00e-19    -0.53   0.599    -1.50e-18    8.70e-19
------------------------------------------------------------------------------
(sum of wgt is 239)

Linear regression                               Number of obs     =      6,302
                                                F(1, 150)         =       2.83
                                                Prob > F          =     0.0946
                                                R-squared         =     0.0080
                                                Root MSE          =     .13634

                                 (Std. err. adjusted for 151 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1206674   .0717292    -1.68   0.095    -.2623976    .0210628
       _cons |  -1.85e-19   5.03e-19    -0.37   0.713    -1.18e-18    8.09e-19
------------------------------------------------------------------------------
(sum of wgt is 244)

Linear regression                               Number of obs     =      6,465
                                                F(1, 151)         =       2.84
                                                Prob > F          =     0.0942
                                                R-squared         =     0.0078
                                                Root MSE          =     .13539

                                 (Std. err. adjusted for 152 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1192901   .0708228    -1.68   0.094    -.2592217    .0206416
       _cons |  -2.03e-19   4.86e-19    -0.42   0.678    -1.16e-18    7.58e-19
------------------------------------------------------------------------------
(sum of wgt is 247)

Linear regression                               Number of obs     =      6,539
                                                F(1, 152)         =       2.74
                                                Prob > F          =     0.1000
                                                R-squared         =     0.0075
                                                Root MSE          =     .13493

                                 (Std. err. adjusted for 153 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1165265   .0704042    -1.66   0.100    -.2556238    .0225707
       _cons |  -4.31e-19   5.10e-19    -0.84   0.399    -1.44e-18    5.77e-19
------------------------------------------------------------------------------
(sum of wgt is 253)

Linear regression                               Number of obs     =      6,749
                                                F(1, 152)         =       2.75
                                                Prob > F          =     0.0994
                                                R-squared         =     0.0072
                                                Root MSE          =     .13485

                                 (Std. err. adjusted for 153 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1143074   .0689386    -1.66   0.099    -.2505089    .0218941
       _cons |  -3.79e-19   4.69e-19    -0.81   0.420    -1.31e-18    5.47e-19
------------------------------------------------------------------------------
(sum of wgt is 261)

Linear regression                               Number of obs     =      6,924
                                                F(1, 154)         =       2.73
                                                Prob > F          =     0.1006
                                                R-squared         =     0.0069
                                                Root MSE          =     .13365

                                 (Std. err. adjusted for 155 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1117229   .0676355    -1.65   0.101     -.245336    .0218903
       _cons |  -1.07e-19   4.76e-19    -0.23   0.822    -1.05e-18    8.33e-19
------------------------------------------------------------------------------
(sum of wgt is 269)

Linear regression                               Number of obs     =      7,051
                                                F(1, 159)         =       3.54
                                                Prob > F          =     0.0617
                                                R-squared         =     0.0087
                                                Root MSE          =     .13295

                                 (Std. err. adjusted for 160 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1234729   .0656218    -1.88   0.062    -.2530757      .00613
       _cons |  -3.72e-19   4.90e-19    -0.76   0.449    -1.34e-18    5.95e-19
------------------------------------------------------------------------------
(sum of wgt is 275)

Linear regression                               Number of obs     =      7,124
                                                F(1, 161)         =       3.82
                                                Prob > F          =     0.0524
                                                R-squared         =     0.0090
                                                Root MSE          =      .1324

                                 (Std. err. adjusted for 162 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1250888   .0640203    -1.95   0.052    -.2515166     .001339
       _cons |  -4.83e-19   4.89e-19    -0.99   0.324    -1.45e-18    4.82e-19
------------------------------------------------------------------------------
(sum of wgt is 276)

Linear regression                               Number of obs     =      7,174
                                                F(1, 161)         =       3.82
                                                Prob > F          =     0.0524
                                                R-squared         =     0.0090
                                                Root MSE          =     .13218

                                 (Std. err. adjusted for 162 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1250736   .0639951    -1.95   0.052    -.2514516    .0013044
       _cons |  -5.28e-19   4.95e-19    -1.07   0.288    -1.51e-18    4.50e-19
------------------------------------------------------------------------------
(sum of wgt is 282)

Linear regression                               Number of obs     =      7,704
                                                F(1, 162)         =       3.65
                                                Prob > F          =     0.0579
                                                R-squared         =     0.0087
                                                Root MSE          =     .13174

                                 (Std. err. adjusted for 163 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1220308    .063879    -1.91   0.058    -.2481738    .0041121
       _cons |  -2.95e-19   5.04e-19    -0.59   0.559    -1.29e-18    7.01e-19
------------------------------------------------------------------------------
(sum of wgt is 290)

Linear regression                               Number of obs     =      7,824
                                                F(1, 165)         =       3.46
                                                Prob > F          =     0.0647
                                                R-squared         =     0.0079
                                                Root MSE          =     .13119

                                 (Std. err. adjusted for 166 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1167595   .0627918    -1.86   0.065    -.2407385    .0072195
       _cons |  -2.30e-19   3.90e-19    -0.59   0.556    -1.00e-18    5.40e-19
------------------------------------------------------------------------------
(sum of wgt is 297)

Linear regression                               Number of obs     =      7,941
                                                F(1, 170)         =       3.40
                                                Prob > F          =     0.0669
                                                R-squared         =     0.0076
                                                Root MSE          =     .13068

                                 (Std. err. adjusted for 171 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1143529   .0620127    -1.84   0.067     -.236767    .0080612
       _cons |  -3.13e-19   4.81e-19    -0.65   0.516    -1.26e-18    6.37e-19
------------------------------------------------------------------------------
(sum of wgt is 307)

Linear regression                               Number of obs     =      8,509
                                                F(1, 171)         =       3.16
                                                Prob > F          =     0.0772
                                                R-squared         =     0.0069
                                                Root MSE          =     .12934

                                 (Std. err. adjusted for 172 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |   -.108721   .0611578    -1.78   0.077    -.2294425    .0120006
       _cons |  -1.68e-19   3.84e-19    -0.44   0.663    -9.25e-19    5.90e-19
------------------------------------------------------------------------------
(sum of wgt is 308)

Linear regression                               Number of obs     =      8,516
                                                F(1, 171)         =       3.20
                                                Prob > F          =     0.0754
                                                R-squared         =     0.0070
                                                Root MSE          =     .12941

                                 (Std. err. adjusted for 172 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1094337   .0611712    -1.79   0.075    -.2301817    .0113143
       _cons |  -2.54e-19   4.31e-19    -0.59   0.557    -1.11e-18    5.98e-19
------------------------------------------------------------------------------
(sum of wgt is 315)

Linear regression                               Number of obs     =      8,688
                                                F(1, 172)         =       3.34
                                                Prob > F          =     0.0695
                                                R-squared         =     0.0071
                                                Root MSE          =     .12862

                                 (Std. err. adjusted for 173 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1097068   .0600655    -1.83   0.070    -.2282673    .0088537
       _cons |  -2.77e-19   4.20e-19    -0.66   0.511    -1.11e-18    5.53e-19
------------------------------------------------------------------------------
(sum of wgt is 320)

Linear regression                               Number of obs     =      8,810
                                                F(1, 173)         =       2.75
                                                Prob > F          =     0.0989
                                                R-squared         =     0.0059
                                                Root MSE          =     .12877

                                 (Std. err. adjusted for 174 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1004012   .0605229    -1.66   0.099    -.2198596    .0190573
       _cons |  -1.98e-19   4.14e-19    -0.48   0.633    -1.02e-18    6.19e-19
------------------------------------------------------------------------------
(sum of wgt is 327)

Linear regression                               Number of obs     =      8,898
                                                F(1, 177)         =       2.76
                                                Prob > F          =     0.0982
                                                R-squared         =     0.0058
                                                Root MSE          =     .12811

                                 (Std. err. adjusted for 178 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.0986046   .0593064    -1.66   0.098    -.2156433    .0184342
       _cons |  -2.61e-19   3.80e-19    -0.69   0.493    -1.01e-18    4.89e-19
------------------------------------------------------------------------------
(sum of wgt is 333)

Linear regression                               Number of obs     =      9,201
                                                F(1, 177)         =       2.75
                                                Prob > F          =     0.0991
                                                R-squared         =     0.0057
                                                Root MSE          =     .12724

                                 (Std. err. adjusted for 178 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.0977056   .0589315    -1.66   0.099    -.2140044    .0185932
       _cons |  -4.44e-19   4.00e-19    -1.11   0.267    -1.23e-18    3.44e-19
------------------------------------------------------------------------------
(sum of wgt is 340)

Linear regression                               Number of obs     =      9,249
                                                F(1, 180)         =       2.70
                                                Prob > F          =     0.1021
                                                R-squared         =     0.0068
                                                Root MSE          =     .12857

                                 (Std. err. adjusted for 181 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1053083    .064085    -1.64   0.102    -.2317628    .0211462
       _cons |   7.22e-20   4.04e-19     0.18   0.858    -7.25e-19    8.69e-19
------------------------------------------------------------------------------
(sum of wgt is 346)

Linear regression                               Number of obs     =      9,305
                                                F(1, 183)         =       2.51
                                                Prob > F          =     0.1148
                                                R-squared         =     0.0062
                                                Root MSE          =     .12851

                                 (Std. err. adjusted for 184 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.0996356   .0628814    -1.58   0.115    -.2237013    .0244301
       _cons |  -2.93e-19   4.20e-19    -0.70   0.487    -1.12e-18    5.36e-19
------------------------------------------------------------------------------
(sum of wgt is 350)

Linear regression                               Number of obs     =      9,369
                                                F(1, 184)         =       3.06
                                                Prob > F          =     0.0818
                                                R-squared         =     0.0103
                                                Root MSE          =     .12862

                                 (Std. err. adjusted for 185 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1249924   .0714269    -1.75   0.082    -.2659134    .0159287
       _cons |  -7.11e-20   4.79e-19    -0.15   0.882    -1.02e-18    8.74e-19
------------------------------------------------------------------------------
(sum of wgt is 355)

Linear regression                               Number of obs     =      9,702
                                                F(1, 185)         =       2.92
                                                Prob > F          =     0.0892
                                                R-squared         =     0.0096
                                                Root MSE          =     .12834

                                 (Std. err. adjusted for 186 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1208106   .0707156    -1.71   0.089    -.2603233     .018702
       _cons |  -3.53e-19   4.68e-19    -0.75   0.452    -1.28e-18    5.71e-19
------------------------------------------------------------------------------
(sum of wgt is 362)

Linear regression                               Number of obs     =      9,832
                                                F(1, 187)         =       2.52
                                                Prob > F          =     0.1143
                                                R-squared         =     0.0082
                                                Root MSE          =     .12918

                                 (Std. err. adjusted for 188 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1124582   .0708829    -1.59   0.114    -.2522911    .0273748
       _cons |  -2.48e-19   4.09e-19    -0.61   0.546    -1.05e-18    5.59e-19
------------------------------------------------------------------------------
(sum of wgt is 366)

Linear regression                               Number of obs     =      9,940
                                                F(1, 189)         =       2.46
                                                Prob > F          =     0.1183
                                                R-squared         =     0.0080
                                                Root MSE          =     .12885

                                 (Std. err. adjusted for 190 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1107737      .0706    -1.57   0.118    -.2500389    .0284915
       _cons |  -2.58e-19   3.97e-19    -0.65   0.517    -1.04e-18    5.26e-19
------------------------------------------------------------------------------
(sum of wgt is 369)

Linear regression                               Number of obs     =      9,975
                                                F(1, 189)         =       2.51
                                                Prob > F          =     0.1149
                                                R-squared         =     0.0081
                                                Root MSE          =     .12858

                                 (Std. err. adjusted for 190 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |    -.11162   .0704809    -1.58   0.115    -.2506503    .0274102
       _cons |  -1.56e-19   4.06e-19    -0.38   0.701    -9.56e-19    6.44e-19
------------------------------------------------------------------------------
(sum of wgt is 372)

Linear regression                               Number of obs     =     10,040
                                                F(1, 191)         =       2.76
                                                Prob > F          =     0.0980
                                                R-squared         =     0.0087
                                                Root MSE          =     .12854

                                 (Std. err. adjusted for 192 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1163009    .069947    -1.66   0.098    -.2542687    .0216669
       _cons |   2.61e-20   3.86e-19     0.07   0.946    -7.35e-19    7.87e-19
------------------------------------------------------------------------------
(sum of wgt is 374)

Linear regression                               Number of obs     =     10,059
                                                F(1, 191)         =       2.55
                                                Prob > F          =     0.1117
                                                R-squared         =     0.0080
                                                Root MSE          =     .12864

                                 (Std. err. adjusted for 192 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1112216   .0695996    -1.60   0.112    -.2485043     .026061
       _cons |  -3.45e-19   3.84e-19    -0.90   0.370    -1.10e-18    4.13e-19
------------------------------------------------------------------------------
(sum of wgt is 384)

Linear regression                               Number of obs     =     10,267
                                                F(1, 194)         =       2.35
                                                Prob > F          =     0.1268
                                                R-squared         =     0.0072
                                                Root MSE          =     .12806

                                 (Std. err. adjusted for 195 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1050359   .0685065    -1.53   0.127    -.2401491    .0300773
       _cons |  -1.22e-19   3.52e-19    -0.35   0.729    -8.17e-19    5.72e-19
------------------------------------------------------------------------------
(sum of wgt is 388)

Linear regression                               Number of obs     =     10,308
                                                F(1, 195)         =       2.10
                                                Prob > F          =     0.1493
                                                R-squared         =     0.0064
                                                Root MSE          =     .12809

                                 (Std. err. adjusted for 196 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.0988863   .0682987    -1.45   0.149    -.2335853    .0358126
       _cons |  -7.22e-20   3.39e-19    -0.21   0.832    -7.41e-19    5.96e-19
------------------------------------------------------------------------------
(sum of wgt is 391)

Linear regression                               Number of obs     =     10,342
                                                F(1, 196)         =       2.88
                                                Prob > F          =     0.0911
                                                R-squared         =     0.0087
                                                Root MSE          =     .12913

                                 (Std. err. adjusted for 197 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1153862   .0679462    -1.70   0.091    -.2493856    .0186132
       _cons |  -5.39e-20   3.59e-19    -0.15   0.881    -7.62e-19    6.55e-19
------------------------------------------------------------------------------
(sum of wgt is 395)

Linear regression                               Number of obs     =     10,400
                                                F(1, 197)         =       2.54
                                                Prob > F          =     0.1126
                                                R-squared         =     0.0075
                                                Root MSE          =     .13002

                                 (Std. err. adjusted for 198 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1077815   .0676331    -1.59   0.113    -.2411592    .0255963
       _cons |  -1.02e-19   4.18e-19    -0.24   0.807    -9.27e-19    7.23e-19
------------------------------------------------------------------------------
(sum of wgt is 401)

Linear regression                               Number of obs     =     10,475
                                                F(1, 199)         =       4.11
                                                Prob > F          =     0.0441
                                                R-squared         =     0.0116
                                                Root MSE          =     .13549

                                 (Std. err. adjusted for 200 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1395503   .0688648    -2.03   0.044    -.2753486    -.003752
       _cons |  -2.19e-19   4.97e-19    -0.44   0.660    -1.20e-18    7.61e-19
------------------------------------------------------------------------------
(sum of wgt is 407)

Linear regression                               Number of obs     =     10,522
                                                F(1, 201)         =       4.63
                                                Prob > F          =     0.0327
                                                R-squared         =     0.0126
                                                Root MSE          =      .1358

                                 (Std. err. adjusted for 202 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |   -.145023   .0674192    -2.15   0.033    -.2779627   -.0120834
       _cons |  -3.39e-20   3.93e-19    -0.09   0.931    -8.08e-19    7.40e-19
------------------------------------------------------------------------------
(sum of wgt is 409)

Linear regression                               Number of obs     =     10,538
                                                F(1, 202)         =       4.84
                                                Prob > F          =     0.0289
                                                R-squared         =     0.0129
                                                Root MSE          =     .13591

                                 (Std. err. adjusted for 203 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1470566   .0668236    -2.20   0.029    -.2788178   -.0152954
       _cons |  -1.17e-19   4.17e-19    -0.28   0.779    -9.40e-19    7.06e-19
------------------------------------------------------------------------------
(sum of wgt is 413)

Linear regression                               Number of obs     =     10,619
                                                F(1, 203)         =       4.65
                                                Prob > F          =     0.0323
                                                R-squared         =     0.0123
                                                Root MSE          =     .13616

                                 (Std. err. adjusted for 204 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1439867   .0668058    -2.16   0.032    -.2757089   -.0122645
       _cons |   1.59e-20   4.04e-19     0.04   0.969    -7.80e-19    8.12e-19
------------------------------------------------------------------------------
(sum of wgt is 416)

Linear regression                               Number of obs     =     10,668
                                                F(1, 205)         =       4.54
                                                Prob > F          =     0.0342
                                                R-squared         =     0.0119
                                                Root MSE          =     .13631

                                 (Std. err. adjusted for 206 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1415739   .0664085    -2.13   0.034    -.2725052   -.0106426
       _cons |  -2.25e-19   3.88e-19    -0.58   0.562    -9.90e-19    5.39e-19
------------------------------------------------------------------------------
(sum of wgt is 421)

Linear regression                               Number of obs     =     10,745
                                                F(1, 205)         =       4.49
                                                Prob > F          =     0.0353
                                                R-squared         =     0.0116
                                                Root MSE          =     .13587

                                 (Std. err. adjusted for 206 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1401781    .066157    -2.12   0.035    -.2706135   -.0097427
       _cons |  -1.04e-21   4.49e-19    -0.00   0.998    -8.86e-19    8.84e-19
------------------------------------------------------------------------------
(sum of wgt is 428)

Linear regression                               Number of obs     =     10,848
                                                F(1, 207)         =       4.45
                                                Prob > F          =     0.0361
                                                R-squared         =     0.0112
                                                Root MSE          =     .13593

                                 (Std. err. adjusted for 208 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1373729   .0651338    -2.11   0.036    -.2657835   -.0089623
       _cons |  -7.15e-20   4.52e-19    -0.16   0.875    -9.63e-19    8.20e-19
------------------------------------------------------------------------------
(sum of wgt is 432)

Linear regression                               Number of obs     =     10,985
                                                F(1, 207)         =       4.56
                                                Prob > F          =     0.0339
                                                R-squared         =     0.0113
                                                Root MSE          =     .13597

                                 (Std. err. adjusted for 208 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1379949   .0646346    -2.13   0.034    -.2654214   -.0105683
       _cons |  -9.22e-20   3.73e-19    -0.25   0.805    -8.28e-19    6.44e-19
------------------------------------------------------------------------------
(sum of wgt is 440)

Linear regression                               Number of obs     =     11,145
                                                F(1, 209)         =       4.16
                                                Prob > F          =     0.0425
                                                R-squared         =     0.0103
                                                Root MSE          =     .13534

                                 (Std. err. adjusted for 210 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1314756   .0644228    -2.04   0.043    -.2584774   -.0044738
       _cons |  -5.48e-20   3.80e-19    -0.14   0.885    -8.03e-19    6.93e-19
------------------------------------------------------------------------------
(sum of wgt is 441)

Linear regression                               Number of obs     =     11,168
                                                F(1, 209)         =       4.15
                                                Prob > F          =     0.0428
                                                R-squared         =     0.0102
                                                Root MSE          =     .13524

                                 (Std. err. adjusted for 210 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1311906   .0643811    -2.04   0.043    -.2581101    -.004271
       _cons |   6.39e-20   4.89e-19     0.13   0.896    -9.01e-19    1.03e-18
------------------------------------------------------------------------------
(sum of wgt is 443)

Linear regression                               Number of obs     =     11,191
                                                F(1, 209)         =       3.96
                                                Prob > F          =     0.0478
                                                R-squared         =     0.0098
                                                Root MSE          =      .1352

                                 (Std. err. adjusted for 210 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1281502   .0643583    -1.99   0.048    -.2550248   -.0012756
       _cons |  -1.61e-19   4.02e-19    -0.40   0.690    -9.54e-19    6.32e-19
------------------------------------------------------------------------------
(sum of wgt is 449)

Linear regression                               Number of obs     =     11,247
                                                F(1, 212)         =       4.11
                                                Prob > F          =     0.0439
                                                R-squared         =     0.0099
                                                Root MSE          =     .13537

                                 (Std. err. adjusted for 213 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1290938   .0636728    -2.03   0.044    -.2546067   -.0035808
       _cons |  -7.55e-20   3.95e-19    -0.19   0.849    -8.53e-19    7.03e-19
------------------------------------------------------------------------------
(sum of wgt is 457)

Linear regression                               Number of obs     =     11,348
                                                F(1, 213)         =       4.14
                                                Prob > F          =     0.0431
                                                R-squared         =     0.0096
                                                Root MSE          =     .13521

                                 (Std. err. adjusted for 214 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1271137    .062462    -2.04   0.043    -.2502366   -.0039908
       _cons |   3.84e-20   3.37e-19     0.11   0.910    -6.27e-19    7.03e-19
------------------------------------------------------------------------------
(sum of wgt is 462)

Linear regression                               Number of obs     =     11,475
                                                F(1, 214)         =       3.91
                                                Prob > F          =     0.0492
                                                R-squared         =     0.0087
                                                Root MSE          =     .13533

                                 (Std. err. adjusted for 215 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1209438   .0611457    -1.98   0.049    -.2414688   -.0004188
       _cons |  -2.52e-20   3.89e-19    -0.06   0.948    -7.91e-19    7.41e-19
------------------------------------------------------------------------------
(sum of wgt is 464)

Linear regression                               Number of obs     =     11,554
                                                F(1, 214)         =       3.90
                                                Prob > F          =     0.0496
                                                R-squared         =     0.0086
                                                Root MSE          =     .13507

                                 (Std. err. adjusted for 215 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1206271   .0610869    -1.97   0.050    -.2410362    -.000218
       _cons |  -2.18e-19   3.90e-19    -0.56   0.576    -9.87e-19    5.51e-19
------------------------------------------------------------------------------
(sum of wgt is 469)

Linear regression                               Number of obs     =     11,627
                                                F(1, 215)         =       4.15
                                                Prob > F          =     0.0429
                                                R-squared         =     0.0090
                                                Root MSE          =     .13492

                                 (Std. err. adjusted for 216 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1230316   .0604131    -2.04   0.043    -.2421093   -.0039539
       _cons |   8.00e-20   4.02e-19     0.20   0.843    -7.13e-19    8.73e-19
------------------------------------------------------------------------------
(sum of wgt is 474)

Linear regression                               Number of obs     =     11,666
                                                F(1, 217)         =       3.83
                                                Prob > F          =     0.0517
                                                R-squared         =     0.0082
                                                Root MSE          =     .13502

                                 (Std. err. adjusted for 218 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1160582   .0593293    -1.96   0.052    -.2329937    .0008772
       _cons |  -1.72e-19   4.00e-19    -0.43   0.668    -9.60e-19    6.16e-19
------------------------------------------------------------------------------
(sum of wgt is 477)

Linear regression                               Number of obs     =     11,713
                                                F(1, 217)         =       4.03
                                                Prob > F          =     0.0459
                                                R-squared         =     0.0084
                                                Root MSE          =     .13526

                                 (Std. err. adjusted for 218 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1179257   .0587298    -2.01   0.046    -.2336795   -.0021718
       _cons |  -1.88e-19   4.05e-19    -0.46   0.644    -9.87e-19    6.11e-19
------------------------------------------------------------------------------
(sum of wgt is 481)

Linear regression                               Number of obs     =     11,788
                                                F(1, 217)         =       3.75
                                                Prob > F          =     0.0540
                                                R-squared         =     0.0078
                                                Root MSE          =     .13492

                                 (Std. err. adjusted for 218 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1133849   .0585321    -1.94   0.054    -.2287491    .0019793
       _cons |  -1.43e-20   3.83e-19    -0.04   0.970    -7.69e-19    7.40e-19
------------------------------------------------------------------------------
(sum of wgt is 484)

Linear regression                               Number of obs     =     11,803
                                                F(1, 217)         =       4.09
                                                Prob > F          =     0.0445
                                                R-squared         =     0.0083
                                                Root MSE          =     .13505

                                 (Std. err. adjusted for 218 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1171716   .0579702    -2.02   0.044    -.2314284   -.0029147
       _cons |   1.73e-19   3.68e-19     0.47   0.640    -5.53e-19    8.98e-19
------------------------------------------------------------------------------
(sum of wgt is 491)

Linear regression                               Number of obs     =     11,902
                                                F(1, 219)         =       3.65
                                                Prob > F          =     0.0574
                                                R-squared         =     0.0074
                                                Root MSE          =     .13578

                                 (Std. err. adjusted for 220 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1113729   .0582991    -1.91   0.057    -.2262719    .0035262
       _cons |   9.43e-21   3.53e-19     0.03   0.979    -6.86e-19    7.05e-19
------------------------------------------------------------------------------
(sum of wgt is 496)

Linear regression                               Number of obs     =     11,961
                                                F(1, 219)         =       3.52
                                                Prob > F          =     0.0619
                                                R-squared         =     0.0071
                                                Root MSE          =     .13549

                                 (Std. err. adjusted for 220 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1087703   .0579523    -1.88   0.062     -.222986    .0054454
       _cons |   1.29e-19   3.44e-19     0.38   0.708    -5.49e-19    8.07e-19
------------------------------------------------------------------------------
(sum of wgt is 498)

Linear regression                               Number of obs     =     12,026
                                                F(1, 221)         =       3.58
                                                Prob > F          =     0.0597
                                                R-squared         =     0.0072
                                                Root MSE          =     .13533

                                 (Std. err. adjusted for 222 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1095044   .0578625    -1.89   0.060    -.2235374    .0045286
       _cons |   1.17e-19   3.54e-19     0.33   0.742    -5.81e-19    8.14e-19
------------------------------------------------------------------------------
(sum of wgt is 501)

Linear regression                               Number of obs     =     12,083
                                                F(1, 222)         =       4.10
                                                Prob > F          =     0.0441
                                                R-squared         =     0.0080
                                                Root MSE          =     .13529

                                 (Std. err. adjusted for 223 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1157544   .0571851    -2.02   0.044    -.2284495   -.0030594
       _cons |  -7.70e-20   4.59e-19    -0.17   0.867    -9.81e-19    8.27e-19
------------------------------------------------------------------------------
(sum of wgt is 501)

Linear regression                               Number of obs     =     12,083
                                                F(1, 222)         =       4.10
                                                Prob > F          =     0.0441
                                                R-squared         =     0.0080
                                                Root MSE          =     .13529

                                 (Std. err. adjusted for 223 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1157544   .0571851    -2.02   0.044    -.2284495   -.0030594
       _cons |  -7.70e-20   4.59e-19    -0.17   0.867    -9.81e-19    8.27e-19
------------------------------------------------------------------------------
(sum of wgt is 504)

Linear regression                               Number of obs     =     12,111
                                                F(1, 222)         =       3.58
                                                Prob > F          =     0.0597
                                                R-squared         =     0.0070
                                                Root MSE          =      .1358

                                 (Std. err. adjusted for 223 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1076238   .0568605    -1.89   0.060    -.2196792    .0044316
       _cons |   6.84e-20   3.66e-19     0.19   0.852    -6.52e-19    7.89e-19
------------------------------------------------------------------------------
(sum of wgt is 509)

Linear regression                               Number of obs     =     12,161
                                                F(1, 227)         =       3.59
                                                Prob > F          =     0.0595
                                                R-squared         =     0.0068
                                                Root MSE          =     .13592

                                 (Std. err. adjusted for 228 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1059842   .0559514    -1.89   0.059    -.2162348    .0042664
       _cons |   4.51e-20   3.77e-19     0.12   0.905    -6.98e-19    7.89e-19
------------------------------------------------------------------------------
(sum of wgt is 513)

Linear regression                               Number of obs     =     12,267
                                                F(1, 228)         =       3.52
                                                Prob > F          =     0.0619
                                                R-squared         =     0.0067
                                                Root MSE          =     .13557

                                 (Std. err. adjusted for 229 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |   -.104718   .0558202    -1.88   0.062    -.2147073    .0052714
       _cons |   3.98e-20   3.92e-19     0.10   0.919    -7.32e-19    8.12e-19
------------------------------------------------------------------------------
(sum of wgt is 518)

Linear regression                               Number of obs     =     12,316
                                                F(1, 230)         =       3.47
                                                Prob > F          =     0.0636
                                                R-squared         =     0.0064
                                                Root MSE          =     .13625

                                 (Std. err. adjusted for 231 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |   -.103191   .0553571    -1.86   0.064    -.2122629    .0058809
       _cons |  -2.18e-20   4.70e-19    -0.05   0.963    -9.49e-19    9.05e-19
------------------------------------------------------------------------------
(sum of wgt is 521)

Linear regression                               Number of obs     =     12,346
                                                F(1, 230)         =       3.46
                                                Prob > F          =     0.0642
                                                R-squared         =     0.0063
                                                Root MSE          =     .13636

                                 (Std. err. adjusted for 231 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1023081   .0550167    -1.86   0.064    -.2107093    .0060932
       _cons |   7.56e-20   4.03e-19     0.19   0.852    -7.19e-19    8.70e-19
------------------------------------------------------------------------------
(sum of wgt is 527)

Linear regression                               Number of obs     =     12,427
                                                F(1, 234)         =       2.19
                                                Prob > F          =     0.1401
                                                R-squared         =     0.0043
                                                Root MSE          =     .13725

                                 (Std. err. adjusted for 235 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.0843825   .0569934    -1.48   0.140    -.1966684    .0279033
       _cons |   2.51e-21   3.55e-19     0.01   0.994    -6.98e-19    7.03e-19
------------------------------------------------------------------------------
(sum of wgt is 529)

Linear regression                               Number of obs     =     12,460
                                                F(1, 235)         =       2.24
                                                Prob > F          =     0.1358
                                                R-squared         =     0.0043
                                                Root MSE          =     .13774

                                 (Std. err. adjusted for 236 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.0849155   .0567365    -1.50   0.136    -.1966927    .0268618
       _cons |   2.14e-20   4.33e-19     0.05   0.961    -8.32e-19    8.74e-19
------------------------------------------------------------------------------
(sum of wgt is 535)

Linear regression                               Number of obs     =     12,539
                                                F(1, 236)         =       2.32
                                                Prob > F          =     0.1292
                                                R-squared         =     0.0044
                                                Root MSE          =     .13745

                                 (Std. err. adjusted for 237 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.0854857   .0561428    -1.52   0.129    -.1960908    .0251194
       _cons |   7.45e-20   4.13e-19     0.18   0.857    -7.40e-19    8.89e-19
------------------------------------------------------------------------------
(sum of wgt is 539)

Linear regression                               Number of obs     =     12,604
                                                F(1, 236)         =       2.16
                                                Prob > F          =     0.1434
                                                R-squared         =     0.0041
                                                Root MSE          =     .13762

                                 (Std. err. adjusted for 237 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.0823402   .0560895    -1.47   0.143    -.1928403      .02816
       _cons |  -1.14e-19   3.34e-19    -0.34   0.733    -7.73e-19    5.44e-19
------------------------------------------------------------------------------
(sum of wgt is 541)

Linear regression                               Number of obs     =     12,661
                                                F(1, 237)         =       2.19
                                                Prob > F          =     0.1402
                                                R-squared         =     0.0041
                                                Root MSE          =     .13748

                                 (Std. err. adjusted for 238 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.0828525   .0559793    -1.48   0.140     -.193133    .0274281
       _cons |   2.29e-20   3.92e-19     0.06   0.954    -7.50e-19    7.96e-19
------------------------------------------------------------------------------
(sum of wgt is 544)

Linear regression                               Number of obs     =     12,686
                                                F(1, 238)         =       2.22
                                                Prob > F          =     0.1375
                                                R-squared         =     0.0041
                                                Root MSE          =     .13763

                                 (Std. err. adjusted for 239 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.0830387   .0557182    -1.49   0.137    -.1928025     .026725
       _cons |   1.72e-19   3.38e-19     0.51   0.611    -4.94e-19    8.38e-19
------------------------------------------------------------------------------
(sum of wgt is 544)

Linear regression                               Number of obs     =     12,686
                                                F(1, 238)         =       2.22
                                                Prob > F          =     0.1375
                                                R-squared         =     0.0041
                                                Root MSE          =     .13763

                                 (Std. err. adjusted for 239 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.0830387   .0557182    -1.49   0.137    -.1928025     .026725
       _cons |   1.72e-19   3.38e-19     0.51   0.611    -4.94e-19    8.38e-19
------------------------------------------------------------------------------
(sum of wgt is 546)

Linear regression                               Number of obs     =     12,717
                                                F(1, 238)         =       2.23
                                                Prob > F          =     0.1363
                                                R-squared         =     0.0041
                                                Root MSE          =     .13768

                                 (Std. err. adjusted for 239 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.0831103   .0556074    -1.49   0.136    -.1926558    .0264352
       _cons |   1.12e-19   3.80e-19     0.29   0.769    -6.37e-19    8.61e-19
------------------------------------------------------------------------------
(sum of wgt is 549)

Linear regression                               Number of obs     =     12,770
                                                F(1, 239)         =       1.88
                                                Prob > F          =     0.1721
                                                R-squared         =     0.0035
                                                Root MSE          =     .13831

                                 (Std. err. adjusted for 240 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.0763251   .0557233    -1.37   0.172    -.1860965    .0334464
       _cons |   5.58e-20   3.37e-19     0.17   0.869    -6.08e-19    7.20e-19
------------------------------------------------------------------------------
(sum of wgt is 550)

Linear regression                               Number of obs     =     12,778
                                                F(1, 240)         =       2.00
                                                Prob > F          =     0.1591
                                                R-squared         =     0.0037
                                                Root MSE          =     .13841

                                 (Std. err. adjusted for 241 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.0785675   .0556209    -1.41   0.159    -.1881351        .031
       _cons |  -3.72e-20   4.20e-19    -0.09   0.930    -8.65e-19    7.91e-19
------------------------------------------------------------------------------
(sum of wgt is 550)

Linear regression                               Number of obs     =     12,778
                                                F(1, 240)         =       2.00
                                                Prob > F          =     0.1591
                                                R-squared         =     0.0037
                                                Root MSE          =     .13841

                                 (Std. err. adjusted for 241 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.0785675   .0556209    -1.41   0.159    -.1881351        .031
       _cons |  -3.72e-20   4.20e-19    -0.09   0.930    -8.65e-19    7.91e-19
------------------------------------------------------------------------------
(sum of wgt is 552)

Linear regression                               Number of obs     =     12,793
                                                F(1, 240)         =       1.97
                                                Prob > F          =     0.1614
                                                R-squared         =     0.0036
                                                Root MSE          =     .13831

                                 (Std. err. adjusted for 241 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.0780142   .0555405    -1.40   0.161    -.1874234    .0313949
       _cons |  -2.22e-20   3.13e-19    -0.07   0.944    -6.39e-19    5.95e-19
------------------------------------------------------------------------------
(sum of wgt is 553)

Linear regression                               Number of obs     =     12,809
                                                F(1, 240)         =       2.00
                                                Prob > F          =     0.1587
                                                R-squared         =     0.0037
                                                Root MSE          =     .13825

                                 (Std. err. adjusted for 241 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.0783821   .0554437    -1.41   0.159    -.1876004    .0308363
       _cons |   1.86e-20   3.56e-19     0.05   0.958    -6.82e-19    7.20e-19
------------------------------------------------------------------------------
(sum of wgt is 556)

Linear regression                               Number of obs     =     12,851
                                                F(1, 241)         =       2.02
                                                Prob > F          =     0.1565
                                                R-squared         =     0.0037
                                                Root MSE          =     .13798

                                 (Std. err. adjusted for 242 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.0784387   .0551803    -1.42   0.156    -.1871359    .0302586
       _cons |   4.37e-20   3.69e-19     0.12   0.906    -6.82e-19    7.70e-19
------------------------------------------------------------------------------
file bw_all_area_single.gph saved
(1,642 missing values generated)
(sum of wgt is 42)

Linear regression                               Number of obs     =      1,478
                                                F(1, 38)          =       0.73
                                                Prob > F          =     0.3992
                                                R-squared         =     0.0060
                                                Root MSE          =      .1359

                                  (Std. err. adjusted for 39 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1185461   .1390456    -0.85   0.399    -.4000292    .1629371
       _cons |   4.92e-19   1.07e-18     0.46   0.648    -1.67e-18    2.65e-18
------------------------------------------------------------------------------
(sum of wgt is 46)

Linear regression                               Number of obs     =      1,568
                                                F(1, 41)          =       0.89
                                                Prob > F          =     0.3519
                                                R-squared         =     0.0064
                                                Root MSE          =     .13385

                                  (Std. err. adjusted for 42 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1193209   .1267157    -0.94   0.352    -.3752284    .1365867
       _cons |   2.58e-19   8.34e-19     0.31   0.758    -1.43e-18    1.94e-18
------------------------------------------------------------------------------
(sum of wgt is 53)

Linear regression                               Number of obs     =      1,684
                                                F(1, 46)          =       2.45
                                                Prob > F          =     0.1245
                                                R-squared         =     0.0112
                                                Root MSE          =     .13612

                                  (Std. err. adjusted for 47 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1489964   .0952104    -1.56   0.124    -.3406451    .0426522
       _cons |   4.81e-19   8.93e-19     0.54   0.593    -1.32e-18    2.28e-18
------------------------------------------------------------------------------
(sum of wgt is 61)

Linear regression                               Number of obs     =      1,805
                                                F(1, 53)          =       2.94
                                                Prob > F          =     0.0921
                                                R-squared         =     0.0115
                                                Root MSE          =     .13654

                                  (Std. err. adjusted for 54 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1493393   .0870563    -1.72   0.092    -.3239521    .0252734
       _cons |   1.77e-19   7.71e-19     0.23   0.819    -1.37e-18    1.72e-18
------------------------------------------------------------------------------
(sum of wgt is 71)

Linear regression                               Number of obs     =      1,986
                                                F(1, 61)          =       4.10
                                                Prob > F          =     0.0473
                                                R-squared         =     0.0137
                                                Root MSE          =     .13444

                                  (Std. err. adjusted for 62 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1633377   .0806863    -2.02   0.047    -.3246799   -.0019954
       _cons |   1.06e-20   7.78e-19     0.01   0.989    -1.55e-18    1.57e-18
------------------------------------------------------------------------------
(sum of wgt is 77)

Linear regression                               Number of obs     =      2,375
                                                F(1, 66)          =       4.39
                                                Prob > F          =     0.0400
                                                R-squared         =     0.0138
                                                Root MSE          =     .13046

                                  (Std. err. adjusted for 67 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1600719   .0764196    -2.09   0.040    -.3126485   -.0074952
       _cons |  -1.87e-19   6.06e-19    -0.31   0.758    -1.40e-18    1.02e-18
------------------------------------------------------------------------------
(sum of wgt is 80)

Linear regression                               Number of obs     =      2,509
                                                F(1, 69)          =       4.59
                                                Prob > F          =     0.0357
                                                R-squared         =     0.0136
                                                Root MSE          =     .12913

                                  (Std. err. adjusted for 70 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1575658   .0735539    -2.14   0.036    -.3043017   -.0108299
       _cons |   1.37e-20   8.06e-19     0.02   0.986    -1.59e-18    1.62e-18
------------------------------------------------------------------------------
(sum of wgt is 87)

Linear regression                               Number of obs     =      2,712
                                                F(1, 74)          =       2.89
                                                Prob > F          =     0.0932
                                                R-squared         =     0.0076
                                                Root MSE          =     .12915

                                  (Std. err. adjusted for 75 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1156785   .0680232    -1.70   0.093    -.2512177    .0198606
       _cons |  -5.90e-21   6.19e-19    -0.01   0.992    -1.24e-18    1.23e-18
------------------------------------------------------------------------------
(sum of wgt is 92)

Linear regression                               Number of obs     =      2,844
                                                F(1, 77)          =       1.45
                                                Prob > F          =     0.2322
                                                R-squared         =     0.0037
                                                Root MSE          =      .1281

                                  (Std. err. adjusted for 78 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |   -.077894   .0646817    -1.20   0.232    -.2066918    .0509037
       _cons |   1.24e-19   8.28e-19     0.15   0.882    -1.53e-18    1.77e-18
------------------------------------------------------------------------------
(sum of wgt is 104)

Linear regression                               Number of obs     =      3,119
                                                F(1, 83)          =       2.33
                                                Prob > F          =     0.1303
                                                R-squared         =     0.0242
                                                Root MSE          =     .13464

                                  (Std. err. adjusted for 84 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.2113902   .1383559    -1.53   0.130    -.4865746    .0637942
       _cons |   5.39e-21   6.61e-19     0.01   0.994    -1.31e-18    1.32e-18
------------------------------------------------------------------------------
(sum of wgt is 112)

Linear regression                               Number of obs     =      3,205
                                                F(1, 87)          =       2.35
                                                Prob > F          =     0.1288
                                                R-squared         =     0.0215
                                                Root MSE          =     .13548

                                  (Std. err. adjusted for 88 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1997594   .1302648    -1.53   0.129    -.4586748    .0591559
       _cons |   2.31e-19   6.15e-19     0.38   0.708    -9.92e-19    1.45e-18
------------------------------------------------------------------------------
(sum of wgt is 124)

Linear regression                               Number of obs     =      3,489
                                                F(1, 94)          =       1.56
                                                Prob > F          =     0.2147
                                                R-squared         =     0.0128
                                                Root MSE          =     .13486

                                  (Std. err. adjusted for 95 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1549719   .1240607    -1.25   0.215    -.4012973    .0913534
       _cons |   1.05e-19   6.11e-19     0.17   0.864    -1.11e-18    1.32e-18
------------------------------------------------------------------------------
(sum of wgt is 134)

Linear regression                               Number of obs     =      3,688
                                                F(1, 98)          =       1.82
                                                Prob > F          =     0.1805
                                                R-squared         =     0.0133
                                                Root MSE          =     .13368

                                  (Std. err. adjusted for 99 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1583604   .1174185    -1.35   0.181    -.3913736    .0746528
       _cons |  -3.61e-20   6.37e-19    -0.06   0.955    -1.30e-18    1.23e-18
------------------------------------------------------------------------------
(sum of wgt is 144)

Linear regression                               Number of obs     =      3,897
                                                F(1, 103)         =       1.85
                                                Prob > F          =     0.1769
                                                R-squared         =     0.0116
                                                Root MSE          =     .13602

                                 (Std. err. adjusted for 104 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1500807   .1103752    -1.36   0.177    -.3689838    .0688224
       _cons |   1.22e-19   5.35e-19     0.23   0.820    -9.38e-19    1.18e-18
------------------------------------------------------------------------------
(sum of wgt is 162)

Linear regression                               Number of obs     =      4,720
                                                F(1, 112)         =       2.64
                                                Prob > F          =     0.1069
                                                R-squared         =     0.0136
                                                Root MSE          =     .13595

                                 (Std. err. adjusted for 113 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1613791   .0992908    -1.63   0.107    -.3581111    .0353529
       _cons |  -1.59e-19   5.97e-19    -0.27   0.791    -1.34e-18    1.02e-18
------------------------------------------------------------------------------
(sum of wgt is 174)

Linear regression                               Number of obs     =      4,980
                                                F(1, 118)         =       3.09
                                                Prob > F          =     0.0812
                                                R-squared         =     0.0139
                                                Root MSE          =     .13623

                                 (Std. err. adjusted for 119 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1654461   .0940748    -1.76   0.081    -.3517398    .0208477
       _cons |   9.78e-20   6.61e-19     0.15   0.883    -1.21e-18    1.41e-18
------------------------------------------------------------------------------
(sum of wgt is 179)

Linear regression                               Number of obs     =      5,034
                                                F(1, 121)         =       4.22
                                                Prob > F          =     0.0422
                                                R-squared         =     0.0169
                                                Root MSE          =     .13563

                                 (Std. err. adjusted for 122 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1765617   .0859904    -2.05   0.042    -.3468023    -.006321
       _cons |   1.28e-19   5.45e-19     0.24   0.814    -9.51e-19    1.21e-18
------------------------------------------------------------------------------
(sum of wgt is 188)

Linear regression                               Number of obs     =      5,161
                                                F(1, 126)         =       3.18
                                                Prob > F          =     0.0772
                                                R-squared         =     0.0126
                                                Root MSE          =     .13632

                                 (Std. err. adjusted for 127 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |   -.151716   .0851423    -1.78   0.077    -.3202101    .0167782
       _cons |  -1.94e-19   5.26e-19    -0.37   0.712    -1.24e-18    8.46e-19
------------------------------------------------------------------------------
(sum of wgt is 201)

Linear regression                               Number of obs     =      5,496
                                                F(1, 130)         =       3.62
                                                Prob > F          =     0.0593
                                                R-squared         =     0.0130
                                                Root MSE          =     .13713

                                 (Std. err. adjusted for 131 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1553367   .0816526    -1.90   0.059    -.3168766    .0062031
       _cons |  -4.03e-19   6.09e-19    -0.66   0.510    -1.61e-18    8.02e-19
------------------------------------------------------------------------------
(sum of wgt is 206)

Linear regression                               Number of obs     =      5,668
                                                F(1, 133)         =       3.35
                                                Prob > F          =     0.0693
                                                R-squared         =     0.0120
                                                Root MSE          =     .13612

                                 (Std. err. adjusted for 134 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1493816   .0815604    -1.83   0.069    -.3107049    .0119417
       _cons |  -4.08e-19   5.56e-19    -0.73   0.464    -1.51e-18    6.91e-19
------------------------------------------------------------------------------
(sum of wgt is 212)

Linear regression                               Number of obs     =      5,828
                                                F(1, 136)         =       3.45
                                                Prob > F          =     0.0655
                                                R-squared         =     0.0121
                                                Root MSE          =     .13485

                                 (Std. err. adjusted for 137 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1494294    .080477    -1.86   0.066    -.3085775    .0097188
       _cons |  -2.71e-19   6.45e-19    -0.42   0.675    -1.55e-18    1.00e-18
------------------------------------------------------------------------------
(sum of wgt is 218)

Linear regression                               Number of obs     =      6,041
                                                F(1, 140)         =       3.67
                                                Prob > F          =     0.0574
                                                R-squared         =     0.0120
                                                Root MSE          =     .13623

                                 (Std. err. adjusted for 141 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1506463   .0786383    -1.92   0.057    -.3061184    .0048258
       _cons |  -7.04e-19   4.45e-19    -1.58   0.116    -1.58e-18    1.77e-19
------------------------------------------------------------------------------
(sum of wgt is 223)

Linear regression                               Number of obs     =      6,204
                                                F(1, 141)         =       3.67
                                                Prob > F          =     0.0573
                                                R-squared         =     0.0118
                                                Root MSE          =      .1352

                                 (Std. err. adjusted for 142 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1486224   .0775319    -1.92   0.057    -.3018976    .0046527
       _cons |  -2.25e-19   5.21e-19    -0.43   0.666    -1.25e-18    8.04e-19
------------------------------------------------------------------------------
(sum of wgt is 226)

Linear regression                               Number of obs     =      6,278
                                                F(1, 142)         =       3.55
                                                Prob > F          =     0.0614
                                                R-squared         =     0.0113
                                                Root MSE          =     .13471

                                 (Std. err. adjusted for 143 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1451928   .0770121    -1.89   0.061    -.2974311    .0070456
       _cons |  -1.10e-19   5.16e-19    -0.21   0.832    -1.13e-18    9.11e-19
------------------------------------------------------------------------------
(sum of wgt is 232)

Linear regression                               Number of obs     =      6,488
                                                F(1, 142)         =       3.57
                                                Prob > F          =     0.0610
                                                R-squared         =     0.0108
                                                Root MSE          =     .13464

                                 (Std. err. adjusted for 143 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1421081   .0752543    -1.89   0.061    -.2908717    .0066554
       _cons |  -1.03e-20   4.30e-19    -0.02   0.981    -8.60e-19    8.39e-19
------------------------------------------------------------------------------
(sum of wgt is 239)

Linear regression                               Number of obs     =      6,650
                                                F(1, 144)         =       3.64
                                                Prob > F          =     0.0584
                                                R-squared         =     0.0107
                                                Root MSE          =     .13346

                                 (Std. err. adjusted for 145 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1406147   .0737173    -1.91   0.058    -.2863225    .0050931
       _cons |  -2.40e-19   4.99e-19    -0.48   0.632    -1.23e-18    7.47e-19
------------------------------------------------------------------------------
(sum of wgt is 246)

Linear regression                               Number of obs     =      6,762
                                                F(1, 149)         =       4.63
                                                Prob > F          =     0.0331
                                                R-squared         =     0.0130
                                                Root MSE          =     .13287

                                 (Std. err. adjusted for 150 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |   -.153389    .071317    -2.15   0.033    -.2943124   -.0124657
       _cons |  -3.30e-20   4.93e-19    -0.07   0.947    -1.01e-18    9.41e-19
------------------------------------------------------------------------------
(sum of wgt is 252)

Linear regression                               Number of obs     =      6,835
                                                F(1, 151)         =       4.95
                                                Prob > F          =     0.0276
                                                R-squared         =     0.0134
                                                Root MSE          =     .13227

                                 (Std. err. adjusted for 152 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1543443   .0693797    -2.22   0.028    -.2914246   -.0172641
       _cons |   3.19e-20   5.23e-19     0.06   0.951    -1.00e-18    1.06e-18
------------------------------------------------------------------------------
(sum of wgt is 254)

Linear regression                               Number of obs     =      6,891
                                                F(1, 152)         =       4.28
                                                Prob > F          =     0.0403
                                                R-squared         =     0.0116
                                                Root MSE          =     .13286

                                 (Std. err. adjusted for 153 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1442169   .0697346    -2.07   0.040    -.2819912   -.0064425
       _cons |  -2.52e-19   5.03e-19    -0.50   0.616    -1.25e-18    7.41e-19
------------------------------------------------------------------------------
(sum of wgt is 259)

Linear regression                               Number of obs     =      7,398
                                                F(1, 152)         =       4.08
                                                Prob > F          =     0.0452
                                                R-squared         =     0.0111
                                                Root MSE          =     .13257

                                 (Std. err. adjusted for 153 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1405522   .0695875    -2.02   0.045    -.2780358   -.0030686
       _cons |  -5.31e-19   4.85e-19    -1.09   0.276    -1.49e-18    4.28e-19
------------------------------------------------------------------------------
(sum of wgt is 266)

Linear regression                               Number of obs     =      7,492
                                                F(1, 155)         =       3.92
                                                Prob > F          =     0.0496
                                                R-squared         =     0.0103
                                                Root MSE          =     .13214

                                 (Std. err. adjusted for 156 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1352399   .0683475    -1.98   0.050    -.2702526   -.0002272
       _cons |  -3.78e-19   4.74e-19    -0.80   0.426    -1.31e-18    5.58e-19
------------------------------------------------------------------------------
(sum of wgt is 271)

Linear regression                               Number of obs     =      7,583
                                                F(1, 158)         =       3.93
                                                Prob > F          =     0.0490
                                                R-squared         =     0.0102
                                                Root MSE          =     .13175

                                 (Std. err. adjusted for 159 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1344165   .0677659    -1.98   0.049    -.2682604   -.0005725
       _cons |  -4.40e-19   4.79e-19    -0.92   0.360    -1.39e-18    5.07e-19
------------------------------------------------------------------------------
(sum of wgt is 278)

Linear regression                               Number of obs     =      8,027
                                                F(1, 159)         =       3.65
                                                Prob > F          =     0.0577
                                                R-squared         =     0.0093
                                                Root MSE          =     .13081

                                 (Std. err. adjusted for 160 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1279607   .0669392    -1.91   0.058    -.2601655     .004244
       _cons |  -3.19e-19   5.26e-19    -0.61   0.545    -1.36e-18    7.19e-19
------------------------------------------------------------------------------
(sum of wgt is 281)

Linear regression                               Number of obs     =      8,059
                                                F(1, 160)         =       3.73
                                                Prob > F          =     0.0553
                                                R-squared         =     0.0093
                                                Root MSE          =     .13082

                                 (Std. err. adjusted for 161 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1284899   .0665652    -1.93   0.055    -.2599496    .0029698
       _cons |  -4.23e-19   4.63e-19    -0.91   0.362    -1.34e-18    4.91e-19
------------------------------------------------------------------------------
(sum of wgt is 287)

Linear regression                               Number of obs     =      8,218
                                                F(1, 161)         =       3.83
                                                Prob > F          =     0.0521
                                                R-squared         =     0.0094
                                                Root MSE          =     .12996

                                 (Std. err. adjusted for 162 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1280797   .0654409    -1.96   0.052    -.2573129    .0011535
       _cons |  -2.39e-19   5.27e-19    -0.45   0.651    -1.28e-18    8.01e-19
------------------------------------------------------------------------------
(sum of wgt is 293)

Linear regression                               Number of obs     =      8,355
                                                F(1, 162)         =       3.14
                                                Prob > F          =     0.0780
                                                R-squared         =     0.0078
                                                Root MSE          =     .12995

                                 (Std. err. adjusted for 163 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1166558   .0657806    -1.77   0.078    -.2465537    .0132422
       _cons |  -4.06e-19   4.58e-19    -0.89   0.377    -1.31e-18    4.99e-19
------------------------------------------------------------------------------
(sum of wgt is 299)

Linear regression                               Number of obs     =      8,436
                                                F(1, 165)         =       3.19
                                                Prob > F          =     0.0761
                                                R-squared         =     0.0077
                                                Root MSE          =     .12918

                                 (Std. err. adjusted for 166 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1150192   .0644291    -1.79   0.076     -.242231    .0121927
       _cons |  -4.89e-19   4.07e-19    -1.20   0.231    -1.29e-18    3.14e-19
------------------------------------------------------------------------------
(sum of wgt is 304)

Linear regression                               Number of obs     =      8,729
                                                F(1, 165)         =       3.20
                                                Prob > F          =     0.0756
                                                R-squared         =     0.0076
                                                Root MSE          =     .12834

                                 (Std. err. adjusted for 166 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |   -.114605   .0640933    -1.79   0.076    -.2411538    .0119438
       _cons |  -4.95e-19   5.25e-19    -0.94   0.348    -1.53e-18    5.43e-19
------------------------------------------------------------------------------
(sum of wgt is 311)

Linear regression                               Number of obs     =      8,777
                                                F(1, 168)         =       3.09
                                                Prob > F          =     0.0808
                                                R-squared         =     0.0089
                                                Root MSE          =     .12974

                                 (Std. err. adjusted for 169 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1215464   .0691927    -1.76   0.081    -.2581455    .0150527
       _cons |  -2.56e-19   4.24e-19    -0.60   0.546    -1.09e-18    5.80e-19
------------------------------------------------------------------------------
(sum of wgt is 316)

Linear regression                               Number of obs     =      8,827
                                                F(1, 170)         =       2.85
                                                Prob > F          =     0.0931
                                                R-squared         =     0.0081
                                                Root MSE          =     .12972

                                 (Std. err. adjusted for 171 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1149333   .0680636    -1.69   0.093     -.249292    .0194253
       _cons |  -3.41e-19   4.07e-19    -0.84   0.403    -1.15e-18    4.63e-19
------------------------------------------------------------------------------
(sum of wgt is 318)

Linear regression                               Number of obs     =      8,847
                                                F(1, 170)         =       3.47
                                                Prob > F          =     0.0644
                                                R-squared         =     0.0130
                                                Root MSE          =     .13005

                                 (Std. err. adjusted for 171 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1418047   .0761747    -1.86   0.064    -.2921748    .0085655
       _cons |  -2.60e-19   4.33e-19    -0.60   0.549    -1.12e-18    5.95e-19
------------------------------------------------------------------------------
(sum of wgt is 323)

Linear regression                               Number of obs     =      9,180
                                                F(1, 171)         =       3.30
                                                Prob > F          =     0.0709
                                                R-squared         =     0.0122
                                                Root MSE          =     .12973

                                 (Std. err. adjusted for 172 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1370085   .0753791    -1.82   0.071    -.2858018    .0117848
       _cons |  -4.19e-19   4.25e-19    -0.99   0.326    -1.26e-18    4.20e-19
------------------------------------------------------------------------------
(sum of wgt is 328)

Linear regression                               Number of obs     =      9,272
                                                F(1, 173)         =       2.92
                                                Prob > F          =     0.0894
                                                R-squared         =     0.0107
                                                Root MSE          =     .13078

                                 (Std. err. adjusted for 174 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1291791    .075615    -1.71   0.089    -.2784257    .0200676
       _cons |  -9.39e-20   4.62e-19    -0.20   0.839    -1.01e-18    8.18e-19
------------------------------------------------------------------------------
(sum of wgt is 331)

Linear regression                               Number of obs     =      9,342
                                                F(1, 175)         =       2.86
                                                Prob > F          =     0.0925
                                                R-squared         =     0.0104
                                                Root MSE          =     .13059

                                 (Std. err. adjusted for 176 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1273814   .0753107    -1.69   0.093    -.2760156    .0212528
       _cons |  -3.09e-19   4.32e-19    -0.72   0.476    -1.16e-18    5.44e-19
------------------------------------------------------------------------------
(sum of wgt is 333)

Linear regression                               Number of obs     =      9,359
                                                F(1, 175)         =       2.91
                                                Prob > F          =     0.0899
                                                R-squared         =     0.0105
                                                Root MSE          =      .1304

                                 (Std. err. adjusted for 176 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1283211    .075242    -1.71   0.090    -.2768196    .0201775
       _cons |  -9.99e-20   5.25e-19    -0.19   0.849    -1.14e-18    9.37e-19
------------------------------------------------------------------------------
(sum of wgt is 335)

Linear regression                               Number of obs     =      9,417
                                                F(1, 176)         =       2.91
                                                Prob > F          =     0.0896
                                                R-squared         =     0.0105
                                                Root MSE          =      .1301

                                 (Std. err. adjusted for 177 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1281867   .0750907    -1.71   0.090    -.2763807    .0200074
       _cons |   2.54e-20   4.17e-19     0.06   0.952    -7.98e-19    8.48e-19
------------------------------------------------------------------------------
(sum of wgt is 336)

Linear regression                               Number of obs     =      9,430
                                                F(1, 176)         =       2.95
                                                Prob > F          =     0.0875
                                                R-squared         =     0.0106
                                                Root MSE          =        .13

                                 (Std. err. adjusted for 177 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1287485   .0749394    -1.72   0.088     -.276644     .019147
       _cons |   1.68e-19   4.62e-19     0.36   0.716    -7.44e-19    1.08e-18
------------------------------------------------------------------------------
(sum of wgt is 343)

Linear regression                               Number of obs     =      9,537
                                                F(1, 179)         =       3.00
                                                Prob > F          =     0.0849
                                                R-squared         =     0.0105
                                                Root MSE          =     .12937

                                 (Std. err. adjusted for 180 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1278685   .0738042    -1.73   0.085    -.2735067    .0177698
       _cons |  -2.49e-19   4.22e-19    -0.59   0.556    -1.08e-18    5.83e-19
------------------------------------------------------------------------------
(sum of wgt is 346)

Linear regression                               Number of obs     =      9,573
                                                F(1, 179)         =       2.91
                                                Prob > F          =     0.0897
                                                R-squared         =     0.0101
                                                Root MSE          =     .12934

                                 (Std. err. adjusted for 180 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1252391   .0734016    -1.71   0.090    -.2700829    .0196047
       _cons |  -8.19e-20   4.24e-19    -0.19   0.847    -9.19e-19    7.55e-19
------------------------------------------------------------------------------
(sum of wgt is 351)

Linear regression                               Number of obs     =      9,685
                                                F(1, 181)         =       3.60
                                                Prob > F          =     0.0592
                                                R-squared         =     0.0123
                                                Root MSE          =     .13033

                                 (Std. err. adjusted for 182 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1386074   .0730052    -1.90   0.059    -.2826581    .0054434
       _cons |  -6.34e-20   4.71e-19    -0.13   0.893    -9.92e-19    8.65e-19
------------------------------------------------------------------------------
(sum of wgt is 355)

Linear regression                               Number of obs     =      9,743
                                                F(1, 182)         =       3.19
                                                Prob > F          =     0.0759
                                                R-squared         =     0.0107
                                                Root MSE          =     .13131

                                 (Std. err. adjusted for 183 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1297858   .0726941    -1.79   0.076    -.2732174    .0136457
       _cons |  -2.89e-20   4.50e-19    -0.06   0.949    -9.18e-19    8.60e-19
------------------------------------------------------------------------------
(sum of wgt is 362)

Linear regression                               Number of obs     =      9,824
                                                F(1, 185)         =       4.33
                                                Prob > F          =     0.0388
                                                R-squared         =     0.0137
                                                Root MSE          =     .13787

                                 (Std. err. adjusted for 186 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1543504   .0741721    -2.08   0.039    -.3006823   -.0080185
       _cons |  -1.79e-19   3.90e-19    -0.46   0.647    -9.48e-19    5.90e-19
------------------------------------------------------------------------------
(sum of wgt is 367)

Linear regression                               Number of obs     =      9,865
                                                F(1, 186)         =       4.67
                                                Prob > F          =     0.0319
                                                R-squared         =     0.0144
                                                Root MSE          =     .13793

                                 (Std. err. adjusted for 187 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1576742   .0729318    -2.16   0.032    -.3015541   -.0137943
       _cons |  -6.49e-20   5.01e-19    -0.13   0.897    -1.05e-18    9.23e-19
------------------------------------------------------------------------------
(sum of wgt is 367)

Linear regression                               Number of obs     =      9,865
                                                F(1, 186)         =       4.67
                                                Prob > F          =     0.0319
                                                R-squared         =     0.0144
                                                Root MSE          =     .13793

                                 (Std. err. adjusted for 187 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1576742   .0729318    -2.16   0.032    -.3015541   -.0137943
       _cons |  -6.49e-20   5.01e-19    -0.13   0.897    -1.05e-18    9.23e-19
------------------------------------------------------------------------------
(sum of wgt is 371)

Linear regression                               Number of obs     =      9,964
                                                F(1, 188)         =       4.50
                                                Prob > F          =     0.0352
                                                R-squared         =     0.0137
                                                Root MSE          =     .13818

                                 (Std. err. adjusted for 189 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1546573   .0729002    -2.12   0.035    -.2984649   -.0108497
       _cons |  -4.13e-21   3.86e-19    -0.01   0.991    -7.66e-19    7.58e-19
------------------------------------------------------------------------------
(sum of wgt is 373)

Linear regression                               Number of obs     =     10,007
                                                F(1, 189)         =       4.46
                                                Prob > F          =     0.0360
                                                R-squared         =     0.0136
                                                Root MSE          =     .13793

                                 (Std. err. adjusted for 190 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1538195    .072834    -2.11   0.036    -.2974915   -.0101476
       _cons |  -1.17e-19   3.77e-19    -0.31   0.757    -8.60e-19    6.26e-19
------------------------------------------------------------------------------
(sum of wgt is 378)

Linear regression                               Number of obs     =     10,083
                                                F(1, 190)         =       4.38
                                                Prob > F          =     0.0377
                                                R-squared         =     0.0131
                                                Root MSE          =     .13787

                                 (Std. err. adjusted for 191 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1509062    .072111    -2.09   0.038    -.2931471   -.0086652
       _cons |  -2.87e-19   4.91e-19    -0.58   0.560    -1.26e-18    6.82e-19
------------------------------------------------------------------------------
(sum of wgt is 384)

Linear regression                               Number of obs     =     10,177
                                                F(1, 191)         =       4.27
                                                Prob > F          =     0.0401
                                                R-squared         =     0.0124
                                                Root MSE          =       .138

                                 (Std. err. adjusted for 192 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1468867   .0710791    -2.07   0.040    -.2870875    -.006686
       _cons |  -1.94e-20   4.16e-19    -0.05   0.963    -8.40e-19    8.02e-19
------------------------------------------------------------------------------
(sum of wgt is 388)

Linear regression                               Number of obs     =     10,314
                                                F(1, 191)         =       4.38
                                                Prob > F          =     0.0377
                                                R-squared         =     0.0125
                                                Root MSE          =     .13802

                                 (Std. err. adjusted for 192 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1475035   .0704777    -2.09   0.038    -.2865181   -.0084888
       _cons |  -9.75e-20   3.51e-19    -0.28   0.781    -7.89e-19    5.94e-19
------------------------------------------------------------------------------
(sum of wgt is 394)

Linear regression                               Number of obs     =     10,451
                                                F(1, 193)         =       4.11
                                                Prob > F          =     0.0440
                                                R-squared         =     0.0117
                                                Root MSE          =     .13743

                                 (Std. err. adjusted for 194 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1419614   .0700241    -2.03   0.044    -.2800721   -.0038506
       _cons |  -2.22e-19   3.85e-19    -0.58   0.564    -9.81e-19    5.36e-19
------------------------------------------------------------------------------
(sum of wgt is 395)

Linear regression                               Number of obs     =     10,464
                                                F(1, 193)         =       4.08
                                                Prob > F          =     0.0447
                                                R-squared         =     0.0116
                                                Root MSE          =     .13737

                                 (Std. err. adjusted for 194 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1414074   .0699927    -2.02   0.045    -.2794562   -.0033587
       _cons |  -1.33e-19   4.18e-19    -0.32   0.751    -9.57e-19    6.91e-19
------------------------------------------------------------------------------
(sum of wgt is 397)

Linear regression                               Number of obs     =     10,490
                                                F(1, 194)         =       3.92
                                                Prob > F          =     0.0492
                                                R-squared         =     0.0111
                                                Root MSE          =     .13725

                                 (Std. err. adjusted for 195 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1383869   .0699084    -1.98   0.049    -.2762651   -.0005088
       _cons |  -1.38e-19   3.72e-19    -0.37   0.710    -8.72e-19    5.95e-19
------------------------------------------------------------------------------
(sum of wgt is 402)

Linear regression                               Number of obs     =     10,537
                                                F(1, 197)         =       4.07
                                                Prob > F          =     0.0450
                                                R-squared         =     0.0112
                                                Root MSE          =     .13728

                                 (Std. err. adjusted for 198 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1392318   .0690167    -2.02   0.045    -.2753381   -.0031255
       _cons |  -1.36e-19   4.82e-19    -0.28   0.778    -1.09e-18    8.15e-19
------------------------------------------------------------------------------
(sum of wgt is 408)

Linear regression                               Number of obs     =     10,608
                                                F(1, 198)         =       4.07
                                                Prob > F          =     0.0449
                                                R-squared         =     0.0109
                                                Root MSE          =     .13732

                                 (Std. err. adjusted for 199 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1370947    .067929    -2.02   0.045    -.2710519   -.0031374
       _cons |  -2.54e-19   4.10e-19    -0.62   0.535    -1.06e-18    5.53e-19
------------------------------------------------------------------------------
(sum of wgt is 412)

Linear regression                               Number of obs     =     10,715
                                                F(1, 199)         =       3.84
                                                Prob > F          =     0.0516
                                                R-squared         =     0.0098
                                                Root MSE          =     .13759

                                 (Std. err. adjusted for 200 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1302822   .0665172    -1.96   0.052    -.2614512    .0008868
       _cons |  -2.11e-19   4.20e-19    -0.50   0.617    -1.04e-18    6.18e-19
------------------------------------------------------------------------------
(sum of wgt is 416)

Linear regression                               Number of obs     =     10,819
                                                F(1, 199)         =       3.82
                                                Prob > F          =     0.0520
                                                R-squared         =     0.0097
                                                Root MSE          =     .13731

                                 (Std. err. adjusted for 200 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1292571    .066134    -1.95   0.052    -.2596705    .0011563
       _cons |  -2.47e-19   4.34e-19    -0.57   0.569    -1.10e-18    6.09e-19
------------------------------------------------------------------------------
(sum of wgt is 419)

Linear regression                               Number of obs     =     10,857
                                                F(1, 200)         =       3.96
                                                Prob > F          =     0.0479
                                                R-squared         =     0.0099
                                                Root MSE          =      .1371

                                 (Std. err. adjusted for 201 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1305124   .0655665    -1.99   0.048    -.2598026   -.0012221
       _cons |  -3.94e-19   4.72e-19    -0.83   0.405    -1.33e-18    5.38e-19
------------------------------------------------------------------------------
(sum of wgt is 422)

Linear regression                               Number of obs     =     10,886
                                                F(1, 200)         =       3.72
                                                Prob > F          =     0.0551
                                                R-squared         =     0.0093
                                                Root MSE          =     .13689

                                 (Std. err. adjusted for 201 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1257616   .0651793    -1.93   0.055    -.2542884    .0027653
       _cons |  -5.66e-20   4.34e-19    -0.13   0.896    -9.12e-19    7.99e-19
------------------------------------------------------------------------------
(sum of wgt is 424)

Linear regression                               Number of obs     =     10,927
                                                F(1, 200)         =       3.74
                                                Prob > F          =     0.0546
                                                R-squared         =     0.0093
                                                Root MSE          =     .13681

                                 (Std. err. adjusted for 201 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1255948   .0649562    -1.93   0.055    -.2536817    .0024921
       _cons |   3.64e-20   4.36e-19     0.08   0.934    -8.24e-19    8.97e-19
------------------------------------------------------------------------------
(sum of wgt is 427)

Linear regression                               Number of obs     =     10,998
                                                F(1, 200)         =       3.72
                                                Prob > F          =     0.0551
                                                R-squared         =     0.0092
                                                Root MSE          =     .13641

                                 (Std. err. adjusted for 201 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1249695   .0647639    -1.93   0.055    -.2526772    .0027382
       _cons |  -2.40e-19   4.22e-19    -0.57   0.571    -1.07e-18    5.93e-19
------------------------------------------------------------------------------
(sum of wgt is 430)

Linear regression                               Number of obs     =     11,013
                                                F(1, 200)         =       4.07
                                                Prob > F          =     0.0450
                                                R-squared         =     0.0098
                                                Root MSE          =     .13654

                                 (Std. err. adjusted for 201 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1292126   .0640588    -2.02   0.045    -.2555299   -.0028953
       _cons |  -1.40e-19   4.20e-19    -0.33   0.740    -9.68e-19    6.89e-19
------------------------------------------------------------------------------
(sum of wgt is 439)

Linear regression                               Number of obs     =     11,151
                                                F(1, 203)         =       3.43
                                                Prob > F          =     0.0657
                                                R-squared         =     0.0082
                                                Root MSE          =     .13728

                                 (Std. err. adjusted for 204 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1190932   .0643512    -1.85   0.066    -.2459756    .0077892
       _cons |  -1.04e-19   4.41e-19    -0.24   0.814    -9.74e-19    7.66e-19
------------------------------------------------------------------------------
(sum of wgt is 443)

Linear regression                               Number of obs     =     11,189
                                                F(1, 204)         =       3.27
                                                Prob > F          =     0.0722
                                                R-squared         =     0.0078
                                                Root MSE          =     .13711

                                 (Std. err. adjusted for 205 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1156079   .0639599    -1.81   0.072    -.2417151    .0104993
       _cons |   2.71e-20   4.30e-19     0.06   0.950    -8.20e-19    8.74e-19
------------------------------------------------------------------------------
(sum of wgt is 444)

Linear regression                               Number of obs     =     11,245
                                                F(1, 205)         =       3.27
                                                Prob > F          =     0.0722
                                                R-squared         =     0.0078
                                                Root MSE          =     .13697

                                 (Std. err. adjusted for 206 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1155749   .0639481    -1.81   0.072    -.2416552    .0105054
       _cons |  -1.78e-20   4.76e-19    -0.04   0.970    -9.56e-19    9.20e-19
------------------------------------------------------------------------------
(sum of wgt is 448)

Linear regression                               Number of obs     =     11,301
                                                F(1, 205)         =       3.70
                                                Prob > F          =     0.0559
                                                R-squared         =     0.0086
                                                Root MSE          =     .13692

                                 (Std. err. adjusted for 206 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1211384   .0630124    -1.92   0.056    -.2453739    .0030971
       _cons |   3.35e-20   4.06e-19     0.08   0.934    -7.66e-19    8.33e-19
------------------------------------------------------------------------------
(sum of wgt is 449)

Linear regression                               Number of obs     =     11,374
                                                F(1, 205)         =       3.70
                                                Prob > F          =     0.0559
                                                R-squared         =     0.0086
                                                Root MSE          =     .13678

                                 (Std. err. adjusted for 206 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1211164   .0630049    -1.92   0.056     -.245337    .0031042
       _cons |   2.88e-20   3.99e-19     0.07   0.943    -7.58e-19    8.16e-19
------------------------------------------------------------------------------
(sum of wgt is 454)

Linear regression                               Number of obs     =     11,432
                                                F(1, 205)         =       3.15
                                                Prob > F          =     0.0773
                                                R-squared         =     0.0072
                                                Root MSE          =     .13716

                                 (Std. err. adjusted for 206 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1110674    .062561    -1.78   0.077    -.2344128    .0122781
       _cons |  -3.03e-20   4.16e-19    -0.07   0.942    -8.51e-19    7.91e-19
------------------------------------------------------------------------------
(sum of wgt is 460)

Linear regression                               Number of obs     =     11,545
                                                F(1, 208)         =       3.40
                                                Prob > F          =     0.0665
                                                R-squared         =     0.0076
                                                Root MSE          =     .13705

                                 (Std. err. adjusted for 209 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |   -.114188   .0618916    -1.84   0.066    -.2362033    .0078272
       _cons |  -5.24e-22   3.69e-19    -0.00   0.999    -7.28e-19    7.26e-19
------------------------------------------------------------------------------
(sum of wgt is 466)

Linear regression                               Number of obs     =     11,694
                                                F(1, 208)         =       3.54
                                                Prob > F          =     0.0612
                                                R-squared         =     0.0078
                                                Root MSE          =      .1367

                                 (Std. err. adjusted for 209 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1155459   .0613914    -1.88   0.061    -.2365751    .0054833
       _cons |   1.10e-19   3.57e-19     0.31   0.759    -5.93e-19    8.13e-19
------------------------------------------------------------------------------
(sum of wgt is 469)

Linear regression                               Number of obs     =     11,727
                                                F(1, 210)         =       3.52
                                                Prob > F          =     0.0620
                                                R-squared         =     0.0077
                                                Root MSE          =     .13674

                                 (Std. err. adjusted for 211 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1144687   .0609973    -1.88   0.062    -.2347141    .0057768
       _cons |  -8.94e-20   3.94e-19    -0.23   0.821    -8.66e-19    6.87e-19
------------------------------------------------------------------------------
(sum of wgt is 472)

Linear regression                               Number of obs     =     11,748
                                                F(1, 210)         =       3.48
                                                Prob > F          =     0.0637
                                                R-squared         =     0.0074
                                                Root MSE          =     .13764

                                 (Std. err. adjusted for 211 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.1130984   .0606659    -1.86   0.064    -.2326905    .0064938
       _cons |  -3.19e-20   3.19e-19    -0.10   0.920    -6.60e-19    5.96e-19
------------------------------------------------------------------------------
(sum of wgt is 478)

Linear regression                               Number of obs     =     11,828
                                                F(1, 215)         =       2.20
                                                Prob > F          =     0.1395
                                                R-squared         =     0.0051
                                                Root MSE          =     .13865

                                 (Std. err. adjusted for 216 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.0933902   .0629728    -1.48   0.140    -.2175133    .0307328
       _cons |   4.37e-20   3.53e-19     0.12   0.902    -6.52e-19    7.39e-19
------------------------------------------------------------------------------
(sum of wgt is 480)

Linear regression                               Number of obs     =     11,861
                                                F(1, 216)         =       2.25
                                                Prob > F          =     0.1352
                                                R-squared         =     0.0051
                                                Root MSE          =     .13918

                                 (Std. err. adjusted for 217 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.0939438   .0626555    -1.50   0.135    -.2174383    .0295507
       _cons |  -1.41e-19   4.47e-19    -0.32   0.752    -1.02e-18    7.40e-19
------------------------------------------------------------------------------
(sum of wgt is 483)

Linear regression                               Number of obs     =     11,897
                                                F(1, 216)         =       2.34
                                                Prob > F          =     0.1279
                                                R-squared         =     0.0052
                                                Root MSE          =     .13906

                                 (Std. err. adjusted for 217 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.0950133   .0621621    -1.53   0.128    -.2175353    .0275087
       _cons |   1.01e-19   4.64e-19     0.22   0.829    -8.14e-19    1.01e-18
------------------------------------------------------------------------------
(sum of wgt is 489)

Linear regression                               Number of obs     =     12,004
                                                F(1, 217)         =       2.16
                                                Prob > F          =     0.1434
                                                R-squared         =     0.0048
                                                Root MSE          =     .13898

                                 (Std. err. adjusted for 218 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.0910393   .0619957    -1.47   0.143    -.2132301    .0311514
       _cons |  -8.15e-20   4.50e-19    -0.18   0.857    -9.69e-19    8.06e-19
------------------------------------------------------------------------------
(sum of wgt is 492)

Linear regression                               Number of obs     =     12,071
                                                F(1, 217)         =       2.18
                                                Prob > F          =     0.1413
                                                R-squared         =     0.0048
                                                Root MSE          =     .13865

                                 (Std. err. adjusted for 218 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.0912705   .0618159    -1.48   0.141    -.2131068    .0305659
       _cons |   1.09e-19   4.12e-19     0.26   0.791    -7.04e-19    9.22e-19
------------------------------------------------------------------------------
(sum of wgt is 495)

Linear regression                               Number of obs     =     12,096
                                                F(1, 218)         =       2.36
                                                Prob > F          =     0.1263
                                                R-squared         =     0.0051
                                                Root MSE          =     .13872

                                 (Std. err. adjusted for 219 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.0940473   .0612794    -1.53   0.126    -.2148232    .0267286
       _cons |  -1.12e-19   4.44e-19    -0.25   0.802    -9.88e-19    7.64e-19
------------------------------------------------------------------------------
(sum of wgt is 496)

Linear regression                               Number of obs     =     12,106
                                                F(1, 218)         =       2.30
                                                Prob > F          =     0.1310
                                                R-squared         =     0.0050
                                                Root MSE          =     .13868

                                 (Std. err. adjusted for 219 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.0928321   .0612365    -1.52   0.131    -.2135234    .0278591
       _cons |   1.47e-19   3.59e-19     0.41   0.683    -5.60e-19    8.53e-19
------------------------------------------------------------------------------
(sum of wgt is 500)

Linear regression                               Number of obs     =     12,148
                                                F(1, 220)         =       2.26
                                                Prob > F          =     0.1340
                                                R-squared         =     0.0048
                                                Root MSE          =     .13875

                                 (Std. err. adjusted for 221 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.0908334   .0603868    -1.50   0.134     -.209844    .0281773
       _cons |   1.44e-19   4.59e-19     0.31   0.754    -7.60e-19    1.05e-18
------------------------------------------------------------------------------
(sum of wgt is 501)

Linear regression                               Number of obs     =     12,189
                                                F(1, 220)         =       2.26
                                                Prob > F          =     0.1338
                                                R-squared         =     0.0048
                                                Root MSE          =     .13862

                                 (Std. err. adjusted for 221 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.0908346   .0603637    -1.50   0.134    -.2097996    .0281305
       _cons |   1.23e-19   4.44e-19     0.28   0.782    -7.52e-19    9.99e-19
------------------------------------------------------------------------------
(sum of wgt is 502)

Linear regression                               Number of obs     =     12,197
                                                F(1, 221)         =       2.40
                                                Prob > F          =     0.1229
                                                R-squared         =     0.0051
                                                Root MSE          =     .13872

                                 (Std. err. adjusted for 222 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.0932901   .0602381    -1.55   0.123    -.2120047    .0254245
       _cons |   8.02e-20   4.40e-19     0.18   0.855    -7.86e-19    9.47e-19
------------------------------------------------------------------------------
(sum of wgt is 504)

Linear regression                               Number of obs     =     12,216
                                                F(1, 221)         =       2.42
                                                Prob > F          =     0.1212
                                                R-squared         =     0.0051
                                                Root MSE          =     .13854

                                 (Std. err. adjusted for 222 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.0931492    .059875    -1.56   0.121    -.2111482    .0248498
       _cons |  -2.20e-19   3.81e-19    -0.58   0.565    -9.70e-19    5.31e-19
------------------------------------------------------------------------------
(sum of wgt is 507)

Linear regression                               Number of obs     =     12,237
                                                F(1, 222)         =       2.53
                                                Prob > F          =     0.1130
                                                R-squared         =     0.0052
                                                Root MSE          =     .13872

                                 (Std. err. adjusted for 223 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.0944306   .0593442    -1.59   0.113    -.2113807    .0225195
       _cons |   9.15e-20   3.60e-19     0.25   0.800    -6.19e-19    8.02e-19
------------------------------------------------------------------------------
(sum of wgt is 509)

Linear regression                               Number of obs     =     12,276
                                                F(1, 222)         =       2.56
                                                Prob > F          =     0.1111
                                                R-squared         =     0.0053
                                                Root MSE          =     .13854

                                 (Std. err. adjusted for 223 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.0947289   .0592157    -1.60   0.111    -.2114256    .0219679
       _cons |   2.25e-19   3.36e-19     0.67   0.503    -4.37e-19    8.87e-19
------------------------------------------------------------------------------
(sum of wgt is 512)

Linear regression                               Number of obs     =     12,319
                                                F(1, 223)         =       2.57
                                                Prob > F          =     0.1106
                                                R-squared         =     0.0053
                                                Root MSE          =     .13827

                                 (Std. err. adjusted for 224 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |  -.0944939    .058984    -1.60   0.111    -.2107313    .0217435
       _cons |   1.56e-19   4.37e-19     0.36   0.722    -7.06e-19    1.02e-18
------------------------------------------------------------------------------
file bw_bl_area_single.gph saved

.         
. loc set         col(2) iscale(0.9) scheme(s1mono)        ysize(11) xsize(20) xcommon 

. grc1leg  bw_all_area_multi.gph bw_bl_area_multi.gph , `set' ///
> t1("Approved permits for multi-family homes (sqm)", size(large))

. graph save temp1, replace
file temp1.gph saved

. 
. grc1leg         bw_all_area_single.gph bw_bl_area_single.gph, `set' ///
> t1("Approved permits for single-family homes (sqm)", size(large))

. graph save temp2, replace       
file temp2.gph saved

.         
.         
. grc1leg temp1.gph temp2.gph, row(2)     scheme(s1mono) b1("Window used to define close elections", size(small)) iscale(.75) ring(2)
>  l1("Estimated treatment effect", size(small))

. graph display, xsize(17) ysize(10)      

.         
. graph export "$res\figA91.$e", replace  
file \\micro.intra\Projekt\P0624$\P0624_Gem\Politisk Geografi\Results\figA91.eps saved as EPS format

. 
. ***********************
. ***   Table A9.1    ***
. ***********************
. cd "$res" 
\\micro.intra\Projekt\P0624$\P0624_Gem\Politisk Geografi\Results

. 
. 
. gl add b(3) nonotes nogaps se(3) label nocons star(* 0.1 ** 0.05 *** 0.01) booktabs fragment nonum ///
> indicate( "Full set of controls=diff_b_area_multi_bef"   ,l(\checkmark)) nomtitles

. 
. loc cont  $pop_cont $turnout_cont $ecgeo_cont    diff_area_multi_lag_bef

. 
.  
. eststo clear

. ren diffalt_maj_min_vald_ab15sm var1

. ren diffalt_maj_min_vald_bel15sm var2

. eststo:  reg diff_area_multi_bef  var1 var2   [pw=w_dist_count ]  ,  cluster(llkk)
(sum of wgt is 491.4522929844391)

Linear regression                               Number of obs     =     12,543
                                                F(2, 229)         =       9.90
                                                Prob > F          =     0.0001
                                                R-squared         =     0.0088
                                                Root MSE          =      .2128

                                 (Std. err. adjusted for 230 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
        var1 |  -.2532683   .0615857    -4.11   0.000    -.3746154   -.1319212
        var2 |  -.1469386   .0741347    -1.98   0.049    -.2930119   -.0008653
       _cons |   .0000779   .0001233     0.63   0.528    -.0001652    .0003209
------------------------------------------------------------------------------
(est1 stored)

. eststo:  reg diff_area_multi_bef var1 var2  `cont'                      [pw=w_dist_count ] ,  cluster(llkk)
(sum of wgt is 485.2506049465287)

Linear regression                               Number of obs     =     11,885
                                                F(14, 229)        =      29.60
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1874
                                                Root MSE          =     .19394

                                            (Std. err. adjusted for 230 clusters in llkk)
-----------------------------------------------------------------------------------------
                        |               Robust
    diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
                   var1 |  -.1571805   .0530222    -2.96   0.003    -.2616542   -.0527068
                   var2 |   -.048505   .0695504    -0.70   0.486    -.1855456    .0885356
         diff_highq_bef |   1.500737   .3829192     3.92   0.000     .7462415    2.255232
        diff_highed_bef |   .3994904   .2888521     1.38   0.168    -.1696572    .9686381
           diff_own_bef |   -.104115   .0873643    -1.19   0.235    -.2762556    .0680255
            diff_em_bef |  -.0864348   .1289957    -0.67   0.503    -.3406051    .1677355
       diff_retired_bef |   .8567195   .3701595     2.31   0.022     .1273655    1.586073
    diff_child_7_15_bef |   .0696347   .4089692     0.17   0.865    -.7361888    .8754583
        diff_voters_bef |  -.6203559   .4209449    -1.47   0.142    -1.449776    .2090643
  diff_b_area_multi_bef |   .7335747   .1325601     5.53   0.000     .4723813    .9947681
 diff_b_area_single_bef |  -.0123683   .1808202    -0.07   0.946    -.3686524    .3439157
         pop_dens_mdiff |  -.0434909    .028764    -1.51   0.132    -.1001667     .013185
     floorarea_pc_mdiff |  -.0002224   .0002066    -1.08   0.283    -.0006294    .0001846
diff_area_multi_lag_bef |   .1194749   .0449054     2.66   0.008     .0309943    .2079555
                  _cons |   .0001739   .0001476     1.18   0.240     -.000117    .0004648
-----------------------------------------------------------------------------------------
(est2 stored)

. 
. ren var1 diffalt_maj_min_vald_ab15sm 

. ren var2 diffalt_maj_min_vald_bel15sm 

. 
. ren diffalt_maj_min_vald_rel var1

. ren     diffalt_maj_min_vald_norell var2        

.                 
. eststo: reg diff_area_multi_bef   var1 var2  [pw=w_dist_count ]  ,  cluster(llkk)
(sum of wgt is 433.9832591300455)

Linear regression                               Number of obs     =      8,969
                                                F(2, 229)         =       9.04
                                                Prob > F          =     0.0002
                                                R-squared         =     0.0118
                                                Root MSE          =     .22138

                                 (Std. err. adjusted for 230 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
        var1 |  -.4292546   .1313903    -3.27   0.001     -.688143   -.1703662
        var2 |  -.1283012   .0553498    -2.32   0.021    -.2373611   -.0192413
       _cons |   .0006059   .0005804     1.04   0.298    -.0005377    .0017496
------------------------------------------------------------------------------
(est3 stored)

. eststo: reg diff_area_multi_bef var1 var2        `cont' [pw=w_dist_count ]   ,  cluster(llkk)
(sum of wgt is 430.0779573791897)

Linear regression                               Number of obs     =      8,703
                                                F(14, 229)        =      26.30
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1913
                                                Root MSE          =     .20125

                                            (Std. err. adjusted for 230 clusters in llkk)
-----------------------------------------------------------------------------------------
                        |               Robust
    diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
                   var1 |  -.2073774    .098835    -2.10   0.037    -.4021196   -.0126352
                   var2 |  -.0720896   .0494893    -1.46   0.147    -.1696022     .025423
         diff_highq_bef |   1.526796   .3913523     3.90   0.000     .7556846    2.297908
        diff_highed_bef |   .4299806   .2963014     1.45   0.148    -.1538449    1.013806
           diff_own_bef |  -.1125355   .0912125    -1.23   0.219    -.2922586    .0671876
            diff_em_bef |  -.0932584   .1331674    -0.70   0.484    -.3556485    .1691317
       diff_retired_bef |   .8914019   .3867217     2.31   0.022     .1294143     1.65339
    diff_child_7_15_bef |   .0971152   .4205138     0.23   0.818    -.7314556     .925686
        diff_voters_bef |   -.671952   .4331297    -1.55   0.122    -1.525381     .181477
  diff_b_area_multi_bef |   .7195982   .1349895     5.33   0.000     .4536179    .9855785
 diff_b_area_single_bef |  -.0049552   .1880047    -0.03   0.979    -.3753955    .3654851
         pop_dens_mdiff |  -.0516467   .0398014    -1.30   0.196    -.1300704     .026777
     floorarea_pc_mdiff |   -.000191   .0002333    -0.82   0.414    -.0006506    .0002686
diff_area_multi_lag_bef |   .1191475   .0456361     2.61   0.010     .0292272    .2090679
                  _cons |   .0001345    .000553     0.24   0.808    -.0009551    .0012241
-----------------------------------------------------------------------------------------
(est4 stored)

. 
. ren var1 diffalt_maj_min_vald_rel 

. ren     var2 diffalt_maj_min_vald_norell 

. 
. ren diffalt_maj_min_vald_coll  var1

. ren diffalt_maj_min_vald_nocoll var2

. 
. eststo: reg diff_area_multi_bef var1 var2    [pw=w_dist_count ]  ,  cluster(llkk)       
(sum of wgt is 491.5689729377237)

Linear regression                               Number of obs     =     12,568
                                                F(2, 229)         =       8.05
                                                Prob > F          =     0.0004
                                                R-squared         =     0.0082
                                                Root MSE          =     .21284

                                 (Std. err. adjusted for 230 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
        var1 |  -.2150617   .0654008    -3.29   0.001    -.3439258   -.0861975
        var2 |  -.1760497   .0797039    -2.21   0.028    -.3330965    -.019003
       _cons |   .0000432   .0000764     0.57   0.572    -.0001073    .0001937
------------------------------------------------------------------------------
(est5 stored)

. eststo: reg diff_area_multi_bef  var1 var2      `cont'  [pw=w_dist_count ]  ,  cluster(llkk)
(sum of wgt is 485.3526055401309)

Linear regression                               Number of obs     =     11,903
                                                F(14, 229)        =      27.84
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1868
                                                Root MSE          =       .194

                                            (Std. err. adjusted for 230 clusters in llkk)
-----------------------------------------------------------------------------------------
                        |               Robust
    diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
                   var1 |  -.1163641   .0539106    -2.16   0.032    -.2225883   -.0101399
                   var2 |  -.0804777    .059679    -1.35   0.179    -.1980678    .0371124
         diff_highq_bef |   1.510976   .3816053     3.96   0.000     .7590691    2.262882
        diff_highed_bef |   .4092053   .2903321     1.41   0.160    -.1628586    .9812692
           diff_own_bef |  -.1056692   .0872506    -1.21   0.227    -.2775858    .0662473
            diff_em_bef |  -.0865137   .1288063    -0.67   0.502    -.3403107    .1672832
       diff_retired_bef |    .863627   .3741505     2.31   0.022     .1264094    1.600845
    diff_child_7_15_bef |   .0646731   .4132772     0.16   0.876    -.7496388    .8789851
        diff_voters_bef |  -.6232441   .4236819    -1.47   0.143    -1.458057    .2115691
  diff_b_area_multi_bef |   .7284173   .1326893     5.49   0.000     .4669692    .9898654
 diff_b_area_single_bef |   -.017683   .1830363    -0.10   0.923    -.3783336    .3429676
         pop_dens_mdiff |  -.0425125   .0282105    -1.51   0.133    -.0980979    .0130729
     floorarea_pc_mdiff |  -.0002254   .0002066    -1.09   0.276    -.0006326    .0001817
diff_area_multi_lag_bef |    .120618   .0447553     2.70   0.008     .0324331    .2088029
                  _cons |   .0001348   .0000837     1.61   0.108      -.00003    .0002997
-----------------------------------------------------------------------------------------
(est6 stored)

. esttab using "tabA91.tex",  replace keep(var1 var2 ) mgroups("Residence $>$ 15 years"   "\makecell{At least one parent \\ or siblin
> g}" "At least one colleague", pattern(1 0 1  0 1 0) prefix(\multicolumn{2}{c}{) suffix(}) span  ) $add  coef(var1 "Stong ties" var2
>  "Weak ties" ) 
(output written to tabA91.tex)

. 
.                                  
. ren var1 diffalt_maj_min_vald_coll  

. ren var2 diffalt_maj_min_vald_nocoll 

.         
. 
.         
. ********************
. ****  Table A1   ***
. ********************
. 
. replace pop_dens=pop_dens*1000000 // transform to sq km
(17,427 real changes made)

. 
. la var bef Population

. la var highq "Top income quartile"

. la var highed "Tertiary education"

. la var em  "Born in the West"

. la var own "Home owners"

. la var retired Retired

. la var child_7_15 "Children age 7-15"

. la var votes "Voters"

. la var b_area_multi "Existing multi-family house (sqm)"

. la var b_area_single "Existing single-family house (sqm)"

. la var area_multi "Permits multi-family house (sqm)"

. la var area_single "Permits single-family house (sqm)"

. la var pop_dens "Population density (sq km)"

. la var floorarea_pc "Floor area per capita"

. la var ln_price_sqm_old "ln(Price per sqm)"

. la var vald_maj "Political majority"

. la var vald_min "Political minority"

. 
. cd "$res" 
\\micro.intra\Projekt\P0624$\P0624_Gem\Politisk Geografi\Results

. eststo clear 

. eststo: estpost sum bef highq  highed  em  own retired child_7_15  votes pop_dens  floorarea_pc  b_area_multi b_area_single area_mu
> lti area_single ln_price_sqm_old vald_maj vald_min if all==1 [aw=w_dist_count]

             |  e(count)   e(sum_w)    e(mean)     e(Var)      e(sd)     e(min)     e(max)     e(sum) 
-------------+----------------------------------------------------------------------------------------
         bef |     17422        865   1502.538   287864.7   536.5303        106       3782    1299696 
       highq |     17422        865   258.3793   23358.88   152.8361          2       1397   223498.1 
      highed |     17422        865   296.7787   33056.57   181.8146          6       1781   256713.6 
          em |     17422        865   1114.957     154141   392.6079         94       2676   964437.6 
         own |     16622   858.0325   617.6795   207822.1   455.8751          0       6794   529989.1 
     retired |     17422        865   315.2282   20988.73   144.8749          8       1142   272672.4 
  child_7_15 |     17422        865   317.6844   24362.43   156.0847          0       1678     274797 
       votes |     17422        865   907.2292   107251.5   327.4928         71       2094   784753.3 
    pop_dens |     17422        865    9571.87   1.45e+09   38126.32    4.62521    5555909    8279668 
floorarea_pc |     17422        865   53.17739   524.3379   22.89842          0   954.4143   45998.44 
b_area_multi |     17380    863.941   17466.92   6.13e+08   24758.13          0   824349.5   1.51e+07 
b_area_sin~e |     17380    863.941   52663.91   1.14e+09   33787.79          0     369985   4.55e+07 
  area_multi |     17422        865   617.3797   1.28e+07   3584.554          0     247587   534033.4 
 area_single |     17422        865   1294.344    9873585   3142.226          0      61292    1119607 
ln_price_s~d |     16284   830.1567   9.042925   .4275801   .6538961   6.284134   11.33845   7507.045 
    vald_maj |     16667        826   2.090961   4.796107   2.190002          0         17   1727.134 
    vald_min |     16667        826    1.70432   3.491548   1.868568          0         15   1407.769 
(est1 stored)

. esttab using "tabA1.tex", replace wide cells("mean(fmt(1)) count(fmt(0))") nonotes nonum noobs ///
> nomtitle label fragment
(output written to tabA1.tex)

.                                  
. 
. ********************
. **** Table A3-A4 ***
. ********************
. 
. 
. 
. 
. gl add b(3) nonotes nogaps se(3) label nocons star(* 0.1 ** 0.05 *** 0.01) booktabs fragment nonum

. 
. gl add1 replace $add collabels(none) nolines noobs

. gl add2 append $add nonum nomtitle mlabels(none) nolines noobs

. gl add3 append $add nonum nomtitle mlabels(none) 

. 
. gl spec [pw=w_dist_count ] 

. 
. gl samp all   close cl_bl

. 
. 
. *check correlation permits and econ geo
. reg diff_area_multi_bef  $ecgeo_cont // strong correlation

      Source |       SS           df       MS      Number of obs   =    14,448
-------------+----------------------------------   F(4, 14443)     =    424.35
       Model |  29.0307757         4  7.25769393   Prob > F        =    0.0000
    Residual |  247.020221    14,443   .01710311   R-squared       =    0.1052
-------------+----------------------------------   Adj R-squared   =    0.1049
       Total |  276.050996    14,447  .019107842   Root MSE        =    .13078

----------------------------------------------------------------------------------------
   diff_area_multi_bef | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-----------------------+----------------------------------------------------------------
 diff_b_area_multi_bef |   .8280986   .0263199    31.46   0.000     .7765082    .8796891
diff_b_area_single_bef |   .0850622   .0528843     1.61   0.108    -.0185978    .1887223
        pop_dens_mdiff |  -.0205908   .0121181    -1.70   0.089    -.0443438    .0031623
    floorarea_pc_mdiff |  -.0003435   .0000717    -4.79   0.000    -.0004839    -.000203
                 _cons |    .000032    .001088     0.03   0.977    -.0021007    .0021647
----------------------------------------------------------------------------------------

. 
. cd "$res"
\\micro.intra\Projekt\P0624$\P0624_Gem\Politisk Geografi\Results

. loc treat diff_maj_min

. foreach var  in   area_single  area_multi {
  2. if "`var'"=="area_multi" loc tab A3
  3. else loc tab A4 
  4.         
. eststo clear
  5. foreach sample in  $samp  {
  6. eststo: reg diff_`var'_bef `treat'  $spec if `sample' ==1  ,cluster(llkk)
  7. loc num_`sample'=e(N)
  8. }
  9. esttab using "tab`tab'.tex",  keep(`treat' ) $add1  coef(`treat'  "\hline No control") mtitle(All   "Close margin" "\makecell{ C
> lose margin \\ no dominant bloc}")
 10. 
. 
. eststo clear
 11. foreach sample in  $samp {
 12. eststo: reg diff_`var'_bef `treat'      $pop_cont $spec if `sample' ==1 ,cluster(llkk)
 13. }
 14. esttab using "tab`tab'.tex", keep(`treat' ) $add2  coef(`treat'  "Population composition")
 15. 
. eststo clear
 16. foreach sample in  $samp {
 17. eststo: reg diff_`var'_bef `treat' $turnout_cont $spec if `sample' ==1 ,cluster(llkk)
 18. }
 19. esttab using "tab`tab'.tex", keep(`treat' ) $add2 coef(`treat'  "Turnout")
 20.         
. eststo clear    
 21. foreach sample in  $samp {
 22. eststo:reg diff_`var'_bef `treat'    $ecgeo_cont $spec if `sample' ==1, cluster(llkk)
 23. }
 24. esttab using "tab`tab'.tex", keep(`treat' ) $add2 coef(`treat'  "Economic geography")
 25.         
. eststo clear    
 26. foreach sample in  $samp {
 27. eststo: reg diff_`var'_bef `treat'  diff_`var'_lag_bef  $spec if `sample' ==1 ,cluster(llkk)
 28. }
 29. esttab using "tab`tab'.tex", keep(`treat' ) $add2  coef(`treat'  "Lagged dependent variable")
 30. 
. eststo clear
 31. foreach sample in  $samp {
 32. eststo: reg diff_`var'_bef `treat'  diff_`var'_lag_bef  $ecgeo_cont $turnout_cont       $pop_cont  $spec if `sample' ==1 ,cluste
> r(llkk)
 33. }
 34. esttab using "tab`tab'.tex", keep(`treat' ) $add3 nolines stat(N , fmt(0) labels(" Observations with all controls"))            
> coef(`treat'  "All controls")   prefoot( "\hline Observations with no controls & `num_all' & `num_close' & `num_cl_bl' \\" )
 35. }               
(sum of wgt is 765)

Linear regression                               Number of obs     =     15,656
                                                F(1, 285)         =       2.21
                                                Prob > F          =     0.1378
                                                R-squared         =     0.0050
                                                Root MSE          =     .14923

                                 (Std. err. adjusted for 286 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.0912082   .0612907    -1.49   0.138     -.211848    .0294316
       _cons |   3.14e-19   3.46e-19     0.91   0.365    -3.68e-19    9.96e-19
------------------------------------------------------------------------------
(est1 stored)
(sum of wgt is 369)

Linear regression                               Number of obs     =      9,975
                                                F(1, 189)         =       2.51
                                                Prob > F          =     0.1149
                                                R-squared         =     0.0081
                                                Root MSE          =     .12858

                                 (Std. err. adjusted for 190 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |    -.11162   .0704809    -1.58   0.115    -.2506503    .0274102
       _cons |  -1.56e-19   4.06e-19    -0.38   0.701    -9.56e-19    6.44e-19
------------------------------------------------------------------------------
(est2 stored)
(sum of wgt is 257)

Linear regression                               Number of obs     =      7,193
                                                F(1, 142)         =       0.91
                                                Prob > F          =     0.3412
                                                R-squared         =     0.0032
                                                Root MSE          =     .13038

                                 (Std. err. adjusted for 143 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.0734765   .0769451    -0.95   0.341    -.2255824    .0786294
       _cons |   2.02e-19   5.44e-19     0.37   0.711    -8.74e-19    1.28e-18
------------------------------------------------------------------------------
(est3 stored)
(output written to tabA4.tex)
(sum of wgt is 758.8432772065333)

Linear regression                               Number of obs     =     14,920
                                                F(7, 285)         =      42.55
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1454
                                                Root MSE          =     .13887

                                        (Std. err. adjusted for 286 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
diff_area_sin~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
       diff_maj_min |  -.0514177   .0421328    -1.22   0.223    -.1343487    .0315133
     diff_highq_bef |   .7479718   .2896742     2.58   0.010     .1777994    1.318144
    diff_highed_bef |   .7341134   .2185799     3.36   0.001     .3038776    1.164349
       diff_own_bef |  -.1302157   .0637248    -2.04   0.042    -.2556467   -.0047848
        diff_em_bef |   .3850673   .0585295     6.58   0.000     .2698624    .5002723
   diff_retired_bef |  -.5055837   .1742123    -2.90   0.004    -.8484897   -.1626776
diff_child_7_15_bef |  -.3801737   .2427254    -1.57   0.118    -.8579355    .0975882
              _cons |    .000122   .0000467     2.61   0.009       .00003    .0002139
-------------------------------------------------------------------------------------
(est1 stored)
(sum of wgt is 364.2814034513585)

Linear regression                               Number of obs     =      9,287
                                                F(7, 189)         =      24.28
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1997
                                                Root MSE          =     .11625

                                        (Std. err. adjusted for 190 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
diff_area_sin~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
       diff_maj_min |  -.0477402   .0435504    -1.10   0.274    -.1336474     .038167
     diff_highq_bef |   .8636247   .3077104     2.81   0.006     .2566366    1.470613
    diff_highed_bef |   .9369804    .314549     2.98   0.003     .3165025    1.557458
       diff_own_bef |  -.2368086   .0905184    -2.62   0.010    -.4153649   -.0582524
        diff_em_bef |    .300284   .0787162     3.81   0.000     .1450089    .4555592
   diff_retired_bef |  -.3684198   .2584502    -1.43   0.156    -.8782374    .1413978
diff_child_7_15_bef |   .3088906   .3415266     0.90   0.367    -.3648031    .9825843
              _cons |   .0001413   .0000698     2.03   0.044     3.69e-06    .0002789
-------------------------------------------------------------------------------------
(est2 stored)
(sum of wgt is 253.310140103525)

Linear regression                               Number of obs     =      6,629
                                                F(7, 142)         =      17.60
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2003
                                                Root MSE          =     .11765

                                        (Std. err. adjusted for 143 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
diff_area_sin~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
       diff_maj_min |  -.0404656   .0648908    -0.62   0.534    -.1687423    .0878112
     diff_highq_bef |   .5239116   .3534181     1.48   0.140    -.1747291    1.222552
    diff_highed_bef |   1.220601    .384671     3.17   0.002     .4601795    1.981023
       diff_own_bef |  -.3108127   .1168478    -2.66   0.009    -.5417987   -.0798266
        diff_em_bef |   .2877203   .0926057     3.11   0.002     .1046562    .4707843
   diff_retired_bef |  -.2716553   .3683253    -0.74   0.462    -.9997647    .4564542
diff_child_7_15_bef |   .8007196   .3972907     2.02   0.046      .015351    1.586088
              _cons |   .0001349   .0000727     1.86   0.065    -8.74e-06    .0002785
-------------------------------------------------------------------------------------
(est3 stored)
(output written to tabA4.tex)
(sum of wgt is 765)

Linear regression                               Number of obs     =     15,656
                                                F(2, 285)         =      24.78
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0352
                                                Root MSE          =     .14695

                                    (Std. err. adjusted for 286 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_area~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
   diff_maj_min |  -.0946482   .0636498    -1.49   0.138    -.2199316    .0306351
diff_voters_bef |   1.031893   .1534765     6.72   0.000     .7298018    1.333985
          _cons |   1.35e-19   3.56e-19     0.38   0.705    -5.65e-19    8.35e-19
---------------------------------------------------------------------------------
(est1 stored)
(sum of wgt is 369)

Linear regression                               Number of obs     =      9,975
                                                F(2, 189)         =      14.27
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0279
                                                Root MSE          =     .12729

                                    (Std. err. adjusted for 190 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_area~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
   diff_maj_min |  -.1074616   .0754912    -1.42   0.156    -.2563752     .041452
diff_voters_bef |   .8105196   .2038368     3.98   0.000     .4084321    1.212607
          _cons |  -4.75e-19   3.98e-19    -1.19   0.234    -1.26e-18    3.10e-19
---------------------------------------------------------------------------------
(est2 stored)
(sum of wgt is 257)

Linear regression                               Number of obs     =      7,193
                                                F(2, 142)         =       4.94
                                                Prob > F          =     0.0084
                                                R-squared         =     0.0131
                                                Root MSE          =     .12974

                                    (Std. err. adjusted for 143 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_area~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
   diff_maj_min |  -.0655716   .0807106    -0.81   0.418    -.2251212    .0939781
diff_voters_bef |   .5856109   .2658985     2.20   0.029     .0599797    1.111242
          _cons |  -9.79e-20   4.83e-19    -0.20   0.840    -1.05e-18    8.58e-19
---------------------------------------------------------------------------------
(est3 stored)
(output written to tabA4.tex)
(sum of wgt is 764.041842426751)

Linear regression                               Number of obs     =     15,619
                                                F(5, 285)         =      48.53
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1695
                                                Root MSE          =     .13643

                                           (Std. err. adjusted for 286 clusters in llkk)
----------------------------------------------------------------------------------------
                       |               Robust
  diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-----------------------+----------------------------------------------------------------
          diff_maj_min |  -.0645098   .0407042    -1.58   0.114    -.1446288    .0156093
 diff_b_area_multi_bef |   .0161267   .0648091     0.25   0.804    -.1114384    .1436919
diff_b_area_single_bef |   1.281289   .1909524     6.71   0.000     .9054332    1.657145
        pop_dens_mdiff |   .0459473   .0229844     2.00   0.047     .0007066    .0911879
    floorarea_pc_mdiff |  -.0004214   .0001843    -2.29   0.023    -.0007841   -.0000587
                 _cons |   .0000156   8.46e-06     1.85   0.066    -1.04e-06    .0000323
----------------------------------------------------------------------------------------
(est1 stored)
(sum of wgt is 368.50803844004)

Linear regression                               Number of obs     =      9,950
                                                F(5, 189)         =      40.83
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1648
                                                Root MSE          =     .11809

                                           (Std. err. adjusted for 190 clusters in llkk)
----------------------------------------------------------------------------------------
                       |               Robust
  diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-----------------------+----------------------------------------------------------------
          diff_maj_min |  -.0733548   .0504677    -1.45   0.148    -.1729072    .0261977
 diff_b_area_multi_bef |  -.0080606   .0722283    -0.11   0.911    -.1505378    .1344167
diff_b_area_single_bef |   1.109176   .2263287     4.90   0.000     .6627214    1.555631
        pop_dens_mdiff |   .0208322   .0224917     0.93   0.356    -.0235349    .0651992
    floorarea_pc_mdiff |  -.0001906   .0001787    -1.07   0.287     -.000543    .0001619
                 _cons |   7.07e-06   8.37e-06     0.84   0.399    -9.44e-06    .0000236
----------------------------------------------------------------------------------------
(est2 stored)
(sum of wgt is 256.5999459769475)

Linear regression                               Number of obs     =      7,173
                                                F(5, 142)         =      26.45
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1477
                                                Root MSE          =     .12068

                                           (Std. err. adjusted for 143 clusters in llkk)
----------------------------------------------------------------------------------------
                       |               Robust
  diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-----------------------+----------------------------------------------------------------
          diff_maj_min |  -.0537147   .0630756    -0.85   0.396    -.1784032    .0709738
 diff_b_area_multi_bef |   .0713731   .1001013     0.71   0.477    -.1265083    .2692546
diff_b_area_single_bef |   1.209999   .3063084     3.95   0.000     .6044853    1.815513
        pop_dens_mdiff |    .014549    .021375     0.68   0.497    -.0277054    .0568033
    floorarea_pc_mdiff |  -.0002988   .0002175    -1.37   0.172    -.0007287    .0001311
                 _cons |   8.49e-06   .0000114     0.74   0.458    -.0000141    .0000311
----------------------------------------------------------------------------------------
(est3 stored)
(output written to tabA4.tex)
(sum of wgt is 765)

Linear regression                               Number of obs     =     15,656
                                                F(2, 285)         =      60.85
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2174
                                                Root MSE          =     .13235

                                             (Std. err. adjusted for 286 clusters in llkk)
------------------------------------------------------------------------------------------
                         |               Robust
    diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------------+----------------------------------------------------------------
            diff_maj_min |  -.0445851   .0383739    -1.16   0.246    -.1201172     .030947
diff_area_single_lag_bef |   .4866146   .0446063    10.91   0.000      .398815    .5744141
                   _cons |   4.96e-19   2.79e-19     1.78   0.076    -5.25e-20    1.04e-18
------------------------------------------------------------------------------------------
(est1 stored)
(sum of wgt is 369)

Linear regression                               Number of obs     =      9,975
                                                F(2, 189)         =      91.86
                                                Prob > F          =     0.0000
                                                R-squared         =     0.3723
                                                Root MSE          =     .10229

                                             (Std. err. adjusted for 190 clusters in llkk)
------------------------------------------------------------------------------------------
                         |               Robust
    diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------------+----------------------------------------------------------------
            diff_maj_min |  -.0698292    .033831    -2.06   0.040     -.136564   -.0030944
diff_area_single_lag_bef |   .6176092   .0460042    13.43   0.000     .5268615    .7083569
                   _cons |   6.80e-20   3.37e-19     0.20   0.840    -5.96e-19    7.32e-19
------------------------------------------------------------------------------------------
(est2 stored)
(sum of wgt is 257)

Linear regression                               Number of obs     =      7,193
                                                F(2, 142)         =      51.17
                                                Prob > F          =     0.0000
                                                R-squared         =     0.3605
                                                Root MSE          =     .10443

                                             (Std. err. adjusted for 143 clusters in llkk)
------------------------------------------------------------------------------------------
                         |               Robust
    diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------------+----------------------------------------------------------------
            diff_maj_min |  -.0848685   .0495187    -1.71   0.089    -.1827575    .0130206
diff_area_single_lag_bef |   .6070504   .0600559    10.11   0.000     .4883313    .7257694
                   _cons |   4.81e-19   4.34e-19     1.11   0.270    -3.78e-19    1.34e-18
------------------------------------------------------------------------------------------
(est3 stored)
(output written to tabA4.tex)
(sum of wgt is 758.1305741787389)

Linear regression                               Number of obs     =     14,887
                                                F(13, 285)        =      54.26
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2999
                                                Root MSE          =     .12577

                                             (Std. err. adjusted for 286 clusters in llkk)
------------------------------------------------------------------------------------------
                         |               Robust
    diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------------+----------------------------------------------------------------
            diff_maj_min |  -.0236321   .0294558    -0.80   0.423    -.0816107    .0343464
diff_area_single_lag_bef |    .339887   .0467315     7.27   0.000     .2479044    .4318696
   diff_b_area_multi_bef |   .0046843   .0606434     0.08   0.938    -.1146815      .12405
  diff_b_area_single_bef |   .8607386   .2027177     4.25   0.000     .4617249    1.259752
          pop_dens_mdiff |   .0321372   .0192465     1.67   0.096    -.0057461    .0700205
      floorarea_pc_mdiff |  -.0002983   .0001789    -1.67   0.096    -.0006504    .0000538
         diff_voters_bef |  -.2659088   .2416142    -1.10   0.272    -.7414835    .2096659
          diff_highq_bef |   .4105465   .2786523     1.47   0.142    -.1379312    .9590242
         diff_highed_bef |   .4831209   .1502873     3.21   0.001     .1873071    .7789348
            diff_own_bef |  -.0598073   .0414661    -1.44   0.150    -.1414259    .0218114
             diff_em_bef |   .0002561   .0523793     0.00   0.996    -.1028432    .1033555
        diff_retired_bef |   -.208197   .1382713    -1.51   0.133    -.4803595    .0639655
     diff_child_7_15_bef |   -.410862   .2046745    -2.01   0.046    -.8137274   -.0079965
                   _cons |   .0000123   .0000214     0.58   0.564    -.0000297    .0000544
------------------------------------------------------------------------------------------
(est1 stored)
(sum of wgt is 363.8348964368531)

Linear regression                               Number of obs     =      9,263
                                                F(13, 189)        =      59.63
                                                Prob > F          =     0.0000
                                                R-squared         =     0.4335
                                                Root MSE          =      .0979

                                             (Std. err. adjusted for 190 clusters in llkk)
------------------------------------------------------------------------------------------
                         |               Robust
    diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------------+----------------------------------------------------------------
            diff_maj_min |  -.0409544   .0324437    -1.26   0.208    -.1049526    .0230439
diff_area_single_lag_bef |   .4726374   .0481164     9.82   0.000     .3777232    .5675515
   diff_b_area_multi_bef |  -.0249488    .064874    -0.38   0.701    -.1529189    .1030213
  diff_b_area_single_bef |   .4974288    .136075     3.66   0.000     .2290079    .7658498
          pop_dens_mdiff |   .0144281   .0160702     0.90   0.370    -.0172719    .0461281
      floorarea_pc_mdiff |  -5.53e-06     .00013    -0.04   0.966    -.0002621     .000251
         diff_voters_bef |  -.5119941   .2848437    -1.80   0.074    -1.073875    .0498872
          diff_highq_bef |   .6663329   .2799264     2.38   0.018     .1141515    1.218514
         diff_highed_bef |   .4375163   .2463052     1.78   0.077    -.0483441    .9233767
            diff_own_bef |  -.1244819    .057929    -2.15   0.033    -.2387524   -.0102114
             diff_em_bef |   .0080593    .072777     0.11   0.912    -.1355003    .1516188
        diff_retired_bef |   .1185713   .1911834     0.62   0.536    -.2585562    .4956988
     diff_child_7_15_bef |   .3464354   .2747155     1.26   0.209    -.1954671    .8883378
                   _cons |  -.0000354   .0000256    -1.39   0.167    -.0000859     .000015
------------------------------------------------------------------------------------------
(est2 stored)
(sum of wgt is 252.9555406259271)

Linear regression                               Number of obs     =      6,610
                                                F(13, 142)        =      43.36
                                                Prob > F          =     0.0000
                                                R-squared         =     0.4347
                                                Root MSE          =     .09903

                                             (Std. err. adjusted for 143 clusters in llkk)
------------------------------------------------------------------------------------------
                         |               Robust
    diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------------+----------------------------------------------------------------
            diff_maj_min |  -.0689882     .04352    -1.59   0.115     -.155019    .0170426
diff_area_single_lag_bef |   .4548318   .0612964     7.42   0.000     .3336603    .5760033
   diff_b_area_multi_bef |  -.0034507   .0769977    -0.04   0.964    -.1556606    .1487591
  diff_b_area_single_bef |   .5669411   .1754134     3.23   0.002      .220182    .9137002
          pop_dens_mdiff |    .003891   .0146359     0.27   0.791    -.0250415    .0328234
      floorarea_pc_mdiff |  -.0000413   .0001561    -0.26   0.792    -.0003498    .0002673
         diff_voters_bef |  -.7096158   .3226726    -2.20   0.029    -1.347479   -.0717531
          diff_highq_bef |   .6410869   .3582416     1.79   0.076     -.067089    1.349263
         diff_highed_bef |   .5345905   .3112904     1.72   0.088    -.0807717    1.149953
            diff_own_bef |  -.1694639    .075758    -2.24   0.027    -.3192232   -.0197046
             diff_em_bef |   .0049269   .0878781     0.06   0.955    -.1687916    .1786453
        diff_retired_bef |   .1534018   .2386363     0.64   0.521    -.3183372    .6251407
     diff_child_7_15_bef |   .6722886   .3266596     2.06   0.041     .0265444    1.318033
                   _cons |  -.0000656   .0000383    -1.71   0.089    -.0001413    .0000102
------------------------------------------------------------------------------------------
(est3 stored)
(output written to tabA4.tex)
(sum of wgt is 494)

Linear regression                               Number of obs     =     13,163
                                                F(1, 228)         =      15.99
                                                Prob > F          =     0.0001
                                                R-squared         =     0.0081
                                                Root MSE          =     .21235

                                 (Std. err. adjusted for 229 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.1995045   .0498893    -4.00   0.000    -.2978075   -.1012015
       _cons |   3.88e-19   5.02e-19     0.77   0.441    -6.02e-19    1.38e-18
------------------------------------------------------------------------------
(est1 stored)
(sum of wgt is 263)

Linear regression                               Number of obs     =      9,010
                                                F(1, 150)         =       4.83
                                                Prob > F          =     0.0294
                                                R-squared         =     0.0038
                                                Root MSE          =     .19251

                                 (Std. err. adjusted for 151 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.1407419    .064008    -2.20   0.029    -.2672156   -.0142682
       _cons |   7.64e-20   5.73e-19     0.13   0.894    -1.06e-18    1.21e-18
------------------------------------------------------------------------------
(est2 stored)
(sum of wgt is 181)

Linear regression                               Number of obs     =      6,538
                                                F(1, 112)         =       4.93
                                                Prob > F          =     0.0284
                                                R-squared         =     0.0062
                                                Root MSE          =     .18909

                                 (Std. err. adjusted for 113 clusters in llkk)
------------------------------------------------------------------------------
             |               Robust
diff_a~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
diff_maj_min |  -.1736838   .0782328    -2.22   0.028    -.3286921   -.0186754
       _cons |   2.58e-19   4.44e-19     0.58   0.562    -6.21e-19    1.14e-18
------------------------------------------------------------------------------
(est3 stored)
(output written to tabA3.tex)
(sum of wgt is 488.207021795278)

Linear regression                               Number of obs     =     12,432
                                                F(7, 228)         =      36.97
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1220
                                                Root MSE          =     .20095

                                        (Std. err. adjusted for 229 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
       diff_maj_min |  -.1570999     .04507    -3.49   0.001    -.2459068   -.0682929
     diff_highq_bef |   1.361215   .4199897     3.24   0.001      .533658    2.188773
    diff_highed_bef |   .5076337   .3270301     1.55   0.122    -.1367541    1.152021
       diff_own_bef |  -.2198875   .0961696    -2.29   0.023    -.4093823   -.0303927
        diff_em_bef |  -.6826963   .0948373    -7.20   0.000    -.8695659   -.4958268
   diff_retired_bef |    1.32383   .3347536     3.95   0.000     .6642236    1.983436
diff_child_7_15_bef |  -1.054654   .4348099    -2.43   0.016    -1.911414   -.1978948
              _cons |   .0001526   .0000618     2.47   0.014     .0000309    .0002744
-------------------------------------------------------------------------------------
(est1 stored)
(sum of wgt is 258.3284813734364)

Linear regression                               Number of obs     =      8,322
                                                F(7, 150)         =      13.83
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1035
                                                Root MSE          =      .1842

                                        (Std. err. adjusted for 151 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
       diff_maj_min |  -.1400735    .057351    -2.44   0.016    -.2533936   -.0267534
     diff_highq_bef |   1.814937   .4708069     3.85   0.000     .8846675    2.745207
    diff_highed_bef |   -.333528   .3803452    -0.88   0.382    -1.085054    .4179982
       diff_own_bef |  -.3545824   .1335446    -2.66   0.009    -.6184538    -.090711
        diff_em_bef |  -.5321937   .1444505    -3.68   0.000    -.8176142   -.2467733
   diff_retired_bef |   .7901748    .436293     1.81   0.072    -.0718988    1.652248
diff_child_7_15_bef |  -1.773686   .5645116    -3.14   0.002    -2.889108   -.6582647
              _cons |   .0001845   .0001089     1.69   0.092    -.0000307    .0003997
-------------------------------------------------------------------------------------
(est2 stored)
(sum of wgt is 177.3215037398886)

Linear regression                               Number of obs     =      5,973
                                                F(7, 112)         =      12.16
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1022
                                                Root MSE          =     .18154

                                        (Std. err. adjusted for 113 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
       diff_maj_min |  -.1616062   .0691348    -2.34   0.021     -.298588   -.0246244
     diff_highq_bef |   1.927212   .5635614     3.42   0.001     .8105873    3.043837
    diff_highed_bef |   .0227677   .4588519     0.05   0.961    -.8863886     .931924
       diff_own_bef |  -.2919632   .1621501    -1.80   0.074    -.6132429    .0293165
        diff_em_bef |  -.5971404   .1741637    -3.43   0.001    -.9422235   -.2520573
   diff_retired_bef |   .4028712   .5194802     0.78   0.440    -.6264121    1.432155
diff_child_7_15_bef |  -1.940211   .7165826    -2.71   0.008    -3.360028    -.520395
              _cons |   .0002536   .0001542     1.64   0.103    -.0000519    .0005592
-------------------------------------------------------------------------------------
(est3 stored)
(output written to tabA3.tex)
(sum of wgt is 494)

Linear regression                               Number of obs     =     13,163
                                                F(2, 228)         =      25.42
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0291
                                                Root MSE          =     .21009

                                    (Std. err. adjusted for 229 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_area~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
   diff_maj_min |   -.197072   .0492248    -4.00   0.000    -.2940657   -.1000783
diff_voters_bef |  -1.375303   .2477676    -5.55   0.000     -1.86351    -.887096
          _cons |   4.60e-19   5.00e-19     0.92   0.359    -5.25e-19    1.44e-18
---------------------------------------------------------------------------------
(est1 stored)
(sum of wgt is 263)

Linear regression                               Number of obs     =      9,010
                                                F(2, 150)         =      10.77
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0224
                                                Root MSE          =     .19072

                                    (Std. err. adjusted for 151 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_area~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
   diff_maj_min |   -.167482   .0627037    -2.67   0.008    -.2913786   -.0435855
diff_voters_bef |   -1.32246   .3614587    -3.66   0.000    -2.036668   -.6082519
          _cons |   1.45e-19   5.55e-19     0.26   0.794    -9.52e-19    1.24e-18
---------------------------------------------------------------------------------
(est2 stored)
(sum of wgt is 181)

Linear regression                               Number of obs     =      6,538
                                                F(2, 112)         =       9.22
                                                Prob > F          =     0.0002
                                                R-squared         =     0.0219
                                                Root MSE          =     .18761

                                    (Std. err. adjusted for 113 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
diff_area~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
   diff_maj_min |  -.1993465   .0762124    -2.62   0.010    -.3503515   -.0483415
diff_voters_bef |  -1.236648   .4194777    -2.95   0.004    -2.067789   -.4055068
          _cons |   4.69e-19   6.06e-19     0.77   0.440    -7.31e-19    1.67e-18
---------------------------------------------------------------------------------
(est3 stored)
(output written to tabA3.tex)
(sum of wgt is 493.2872969722055)

Linear regression                               Number of obs     =     13,130
                                                F(5, 228)         =      44.61
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1558
                                                Root MSE          =     .19607

                                           (Std. err. adjusted for 229 clusters in llkk)
----------------------------------------------------------------------------------------
                       |               Robust
   diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-----------------------+----------------------------------------------------------------
          diff_maj_min |  -.1005129   .0393095    -2.56   0.011    -.1779692   -.0230565
 diff_b_area_multi_bef |   .8722243   .1219426     7.15   0.000     .6319458    1.112503
diff_b_area_single_bef |   .0502494   .1825651     0.28   0.783     -.309481    .4099798
        pop_dens_mdiff |  -.0682014   .0339752    -2.01   0.046     -.135147   -.0012559
    floorarea_pc_mdiff |  -.0002629   .0002359    -1.11   0.266    -.0007278    .0002019
                 _cons |   .0000108   .0000162     0.67   0.506    -.0000211    .0000426
----------------------------------------------------------------------------------------
(est1 stored)
(sum of wgt is 262.5534929854946)

Linear regression                               Number of obs     =      8,986
                                                F(5, 150)         =      22.73
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1564
                                                Root MSE          =     .17734

                                           (Std. err. adjusted for 151 clusters in llkk)
----------------------------------------------------------------------------------------
                       |               Robust
   diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-----------------------+----------------------------------------------------------------
          diff_maj_min |  -.1241242     .05533    -2.24   0.026    -.2334511   -.0147973
 diff_b_area_multi_bef |   .9920183   .1171668     8.47   0.000     .7605077    1.223529
diff_b_area_single_bef |    .377302   .1754796     2.15   0.033     .0305709     .724033
        pop_dens_mdiff |  -.0507354   .0350451    -1.45   0.150    -.1199812    .0185104
    floorarea_pc_mdiff |   -.000435   .0002707    -1.61   0.110    -.0009698    .0000999
                 _cons |  -2.40e-06   .0000248    -0.10   0.923    -.0000514    .0000466
----------------------------------------------------------------------------------------
(est2 stored)
(sum of wgt is 180.6454005224021)

Linear regression                               Number of obs     =      6,519
                                                F(5, 112)         =      20.63
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1656
                                                Root MSE          =     .17348

                                           (Std. err. adjusted for 113 clusters in llkk)
----------------------------------------------------------------------------------------
                       |               Robust
   diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-----------------------+----------------------------------------------------------------
          diff_maj_min |  -.1457086   .0615576    -2.37   0.020     -.267677   -.0237401
 diff_b_area_multi_bef |   1.089453   .1223024     8.91   0.000     .8471266     1.33178
diff_b_area_single_bef |   .5599894   .1931136     2.90   0.004     .1773594    .9426193
        pop_dens_mdiff |   -.027386   .0222486    -1.23   0.221    -.0714688    .0166968
    floorarea_pc_mdiff |  -.0005678   .0002916    -1.95   0.054    -.0011457    .0000101
                 _cons |  -.0000113   .0000352    -0.32   0.749     -.000081    .0000584
----------------------------------------------------------------------------------------
(est3 stored)
(output written to tabA3.tex)
(sum of wgt is 494)

Linear regression                               Number of obs     =     13,163
                                                F(2, 228)         =      32.69
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0517
                                                Root MSE          =     .20764

                                            (Std. err. adjusted for 229 clusters in llkk)
-----------------------------------------------------------------------------------------
                        |               Robust
    diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
           diff_maj_min |  -.1902575   .0471667    -4.03   0.000    -.2831959   -.0973191
diff_area_multi_lag_bef |   .2650981   .0420056     6.31   0.000     .1823293    .3478669
                  _cons |   3.89e-19   5.03e-19     0.77   0.440    -6.03e-19    1.38e-18
-----------------------------------------------------------------------------------------
(est1 stored)
(sum of wgt is 263)

Linear regression                               Number of obs     =      9,010
                                                F(2, 150)         =      22.10
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0549
                                                Root MSE          =     .18752

                                            (Std. err. adjusted for 151 clusters in llkk)
-----------------------------------------------------------------------------------------
                        |               Robust
    diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
           diff_maj_min |   -.142684   .0616256    -2.32   0.022    -.2644503   -.0209177
diff_area_multi_lag_bef |   .2891442   .0490701     5.89   0.000     .1921863     .386102
                  _cons |   1.41e-19   4.59e-19     0.31   0.760    -7.67e-19    1.05e-18
-----------------------------------------------------------------------------------------
(est2 stored)
(sum of wgt is 181)

Linear regression                               Number of obs     =      6,538
                                                F(2, 112)         =      12.36
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0467
                                                Root MSE          =     .18522

                                            (Std. err. adjusted for 113 clusters in llkk)
-----------------------------------------------------------------------------------------
                        |               Robust
    diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
           diff_maj_min |  -.1816655   .0771221    -2.36   0.020    -.3344731   -.0288579
diff_area_multi_lag_bef |   .2644036   .0629137     4.20   0.000     .1397481    .3890591
                  _cons |   2.99e-19   6.08e-19     0.49   0.623    -9.05e-19    1.50e-18
-----------------------------------------------------------------------------------------
(est3 stored)
(output written to tabA3.tex)
(sum of wgt is 487.4943187674835)

Linear regression                               Number of obs     =     12,399
                                                F(13, 228)        =      29.56
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1866
                                                Root MSE          =     .19361

                                            (Std. err. adjusted for 229 clusters in llkk)
-----------------------------------------------------------------------------------------
                        |               Robust
    diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
           diff_maj_min |  -.1027029   .0408198    -2.52   0.013    -.1831353   -.0222706
diff_area_multi_lag_bef |   .1204407    .044538     2.70   0.007     .0326819    .2081994
  diff_b_area_multi_bef |   .7286239   .1324005     5.50   0.000     .4677388     .989509
 diff_b_area_single_bef |  -.0166178    .181952    -0.09   0.927    -.3751403    .3419047
         pop_dens_mdiff |  -.0383978   .0250839    -1.53   0.127    -.0878237    .0110281
     floorarea_pc_mdiff |  -.0002229   .0002056    -1.08   0.280    -.0006281    .0001823
        diff_voters_bef |  -.6218636   .4222326    -1.47   0.142    -1.453841    .2101134
         diff_highq_bef |   1.516051   .3810165     3.98   0.000     .7652872    2.266815
        diff_highed_bef |   .4029852   .2883383     1.40   0.164    -.1651632    .9711335
           diff_own_bef |  -.1060948   .0872419    -1.22   0.225    -.2779983    .0658086
            diff_em_bef |  -.0876849   .1284408    -0.68   0.495    -.3407675    .1653978
       diff_retired_bef |   .8687056   .3768525     2.31   0.022     .1261467    1.611265
    diff_child_7_15_bef |   .0717111   .4157704     0.17   0.863    -.7475326    .8909549
                  _cons |   .0001086    .000057     1.90   0.058    -3.80e-06    .0002209
-----------------------------------------------------------------------------------------
(est1 stored)
(sum of wgt is 257.881974358931)

Linear regression                               Number of obs     =      8,298
                                                F(13, 150)        =      14.80
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1828
                                                Root MSE          =     .17608

                                            (Std. err. adjusted for 151 clusters in llkk)
-----------------------------------------------------------------------------------------
                        |               Robust
    diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
           diff_maj_min |  -.1141684   .0604433    -1.89   0.061    -.2335986    .0052619
diff_area_multi_lag_bef |   .1460165   .0486734     3.00   0.003     .0498426    .2421905
  diff_b_area_multi_bef |   .8910845   .1531736     5.82   0.000      .588428    1.193741
 diff_b_area_single_bef |   .3081398   .1789864     1.72   0.087    -.0455204       .6618
         pop_dens_mdiff |  -.0076988   .0255727    -0.30   0.764    -.0582281    .0428305
     floorarea_pc_mdiff |  -.0004148   .0002446    -1.70   0.092    -.0008981    .0000684
        diff_voters_bef |   .1810978   .4888341     0.37   0.712    -.7847921    1.146988
         diff_highq_bef |   1.202066   .4615365     2.60   0.010     .2901134    2.114018
        diff_highed_bef |  -.2812484   .3337784    -0.84   0.401     -.940763    .3782662
           diff_own_bef |  -.1730487   .1146188    -1.51   0.133    -.3995246    .0534272
            diff_em_bef |   .0078492   .1741404     0.05   0.964    -.3362359    .3519342
       diff_retired_bef |   .1521164    .417611     0.36   0.716    -.6730434    .9772762
    diff_child_7_15_bef |  -.6405997   .4961953    -1.29   0.199    -1.621035    .3398353
                  _cons |   .0000855   .0000891     0.96   0.339    -.0000905    .0002616
-----------------------------------------------------------------------------------------
(est2 stored)
(sum of wgt is 176.9669042622907)

Linear regression                               Number of obs     =      5,954
                                                F(13, 112)        =      13.39
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1948
                                                Root MSE          =     .17218

                                            (Std. err. adjusted for 113 clusters in llkk)
-----------------------------------------------------------------------------------------
                        |               Robust
    diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
           diff_maj_min |  -.1315321   .0672542    -1.96   0.053    -.2647877    .0017235
diff_area_multi_lag_bef |   .1048847   .0632637     1.66   0.100    -.0204642    .2302336
  diff_b_area_multi_bef |   1.016347   .1462774     6.95   0.000     .7265174    1.306177
 diff_b_area_single_bef |   .4433438    .201424     2.20   0.030     .0442479    .8424397
         pop_dens_mdiff |  -.0100834   .0216381    -0.47   0.642    -.0529566    .0327897
     floorarea_pc_mdiff |  -.0005445   .0002615    -2.08   0.040    -.0010625   -.0000264
        diff_voters_bef |  -.3604125   .5364242    -0.67   0.503    -1.423268    .7024432
         diff_highq_bef |   1.496949   .5634586     2.66   0.009     .3805276    2.613369
        diff_highed_bef |   .1676078    .414045     0.40   0.686    -.6527692    .9879849
           diff_own_bef |  -.1223394   .1347566    -0.91   0.366    -.3893423    .1446636
            diff_em_bef |   .0154001    .183716     0.08   0.933    -.3486097    .3794098
       diff_retired_bef |   .0787559   .4722061     0.17   0.868      -.85686    1.014372
    diff_child_7_15_bef |  -.5003893   .6329208    -0.79   0.431    -1.754441    .7536622
                  _cons |   .0001189   .0001389     0.86   0.394    -.0001563    .0003941
-----------------------------------------------------------------------------------------
(est3 stored)
(output written to tabA3.tex)

.         
. *******************************
. *** Fuzzy RDD table A92-A93  ****
. *******************************
. 
. 
. gen left_inst= vanster_maj*diff_vald_left_right

. gen right_inst= -hoger_maj*diff_vald_left_right

. gen right_force=-dist_h_simp*diff_vald_left_right
(306 missing values generated)

. gen left_force=dist_v_simp*diff_vald_left_right
(306 missing values generated)

. gen right_force_sq=right_force^2
(306 missing values generated)

. gen left_force_sq=left_force^2
(306 missing values generated)

. gen right_force_cub=right_force^3
(306 missing values generated)

. gen left_force_cub=left_force^3
(306 missing values generated)

. 
. 
. la var left_inst "Left seat maj.*left-right conc."

. la var right_inst "Right seat maj.*right-left conc." 

. la var diff_maj_min "Majority-opposition conc."

. gl add b(3) nonotes nogaps se(3) label nocons star(* 0.1 ** 0.05 *** 0.01) booktabs fragment 

. 
. gl add1 replace $add collabels(none) nomtitle  nolines noobs 

. gl add2 append $add nonum nomtitle mlabels(none) nolines noobs

. gl add3 append $add nonum nomtitle mlabels(none) nolines

. 
. 
. foreach y in  multi single {
  2.         
. if "`y'"=="multi" loc tab A92
  3. else loc tab A93
  4.         
. loc var1 diff_vald_left_right left_force right_force 
  5. loc var2 diff_vald_left_right left_force right_force left_force_sq right_force_sq
  6. loc var3 diff_vald_left_right left_force right_force left_force_sq right_force_sq  left_force_cub right_force_cub
  7. loc spec [pw=w_dist_count ]  if all==1 & !mi(diff_area_`y'_bef) & !mi(diff_maj_min), cluster(llkk_year) 
  8. 
. *** first stage ***
. cd "$res"
  9. 
. 
. 
. eststo clear
 10. eststo: reg diff_maj_min left_inst  diff_vald_left_right   [pw=w_dist_count ] if  abs(dist_v_simp) <.05 & !mi(diff_area_`y'_bef)
> , cluster(llkk) // 7721 obs
 11. eststo:    reg diff_maj_min right_inst  diff_vald_left_right [pw=w_dist_count ] if  abs(dist_h_simp) <.05 & !mi(diff_area_`y'_be
> f), cluster(llkk) //6996 obs
 12. eststo:   reg diff_maj_min  right_inst left_inst `var1'  `spec' // 15557 obs
 13. eststo:  reg diff_maj_min  right_inst left_inst `var2' `spec' // 15557
 14. eststo:  reg  diff_maj_min  right_inst left_inst `var3'   `spec' // 15557
 15. esttab using "tab`tab'.tex",  keep(left_inst right_inst ) $add1  refcat(left_inst "First stage: ", nolabel)
 16. 
.  
.  
. *** reduced form  ***
.  eststo clear
 17. eststo: reg diff_area_`y'_bef left_inst  diff_vald_left_right [pw=w_dist_count ] if  abs(dist_v_simp) <.05 & !mi(diff_maj_min), 
> cluster(llkk) // 8317
 18. eststo:  reg diff_area_`y'_bef right_inst  diff_vald_left_right [pw=w_dist_count ] if  abs(dist_h_simp) <.05  & !mi(diff_maj_min
> ), cluster(llkk) // 7300
 19. eststo:   reg diff_area_`y'_bef   right_inst left_inst `var1'  `spec' // 16986
 20. eststo:   reg diff_area_`y'_bef   right_inst left_inst `var2'  `spec'    
 21. eststo:  reg  diff_area_`y'_bef  right_inst left_inst `var3'  `spec' 
 22. esttab using "tab`tab'.tex",  keep(left_inst right_inst ) $add2  coef(left_inst "\hline Reduced form: \\ Left seat maj.*left-rig
> ht conc." ) refcat(right_inst "\hline  IV:", nolabel below) 
 23. 
.   
. *** 2SLS multi ***
. 
. eststo clear
 24. eststo:  ivreg2 diff_area_`y'_bef (diff_maj_min=left_inst )  diff_vald_left_right [pw=w_dist_count ] if  abs(dist_v_simp) <.05, 
> cluster(llkk) // 7643 
 25. eststo:  ivreg2 diff_area_`y'_bef (diff_maj_min =right_inst )  diff_vald_left_right [pw=w_dist_count ] if  abs(dist_h_simp) <.05
> , cluster(llkk) // 6938
 26. eststo:  ivreg2 diff_area_`y'_bef  (diff_maj_min =right_inst left_inst) `var1'  `spec' // 15432
 27. eststo:   ivreg2 diff_area_`y'_bef  (diff_maj_min =right_inst left_inst) `var2'  `spec' 
 28. eststo:    ivreg2 diff_area_`y'_bef  (diff_maj_min =right_inst left_inst) `var3'  `spec'  
 29. esttab using "tab`tab'.tex",  keep(diff_maj_min ) $add3  refcat(diff_maj_min "\hline Instrument & Left & Right & Both & Both & B
> oth \\ Left threshold & \checkmark & & & &   \\ Right threshold &  & \checkmark  ", nolabel below)  indicate( "Global control 1st p
> ol.=left_force" "Global control 2nd pol.=left_force_sq"  "Global control 3d pol.=left_force_cub"  ,l(\checkmark)) 
 30. 
. }
\\micro.intra\Projekt\P0624$\P0624_Gem\Politisk Geografi\Results
(sum of wgt is 166)

Linear regression                               Number of obs     =      6,872
                                                F(2, 112)         =      25.06
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2422
                                                Root MSE          =     .07141

                                         (Std. err. adjusted for 113 clusters in llkk)
--------------------------------------------------------------------------------------
                     |               Robust
        diff_maj_min | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
---------------------+----------------------------------------------------------------
           left_inst |   .8747373   .1789615     4.89   0.000     .5201479    1.229327
diff_vald_left_right |  -.1795734   .1488658    -1.21   0.230    -.4745318     .115385
               _cons |  -7.20e-20   3.14e-19    -0.23   0.819    -6.95e-19    5.51e-19
--------------------------------------------------------------------------------------
(est1 stored)
(sum of wgt is 189)

Linear regression                               Number of obs     =      6,409
                                                F(2, 111)         =      62.80
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2828
                                                Root MSE          =     .07366

                                         (Std. err. adjusted for 112 clusters in llkk)
--------------------------------------------------------------------------------------
                     |               Robust
        diff_maj_min | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
---------------------+----------------------------------------------------------------
          right_inst |   .9251111   .1469838     6.29   0.000     .6338528    1.216369
diff_vald_left_right |   .1445042   .1309997     1.10   0.272    -.1150804    .4040888
               _cons |  -1.49e-19   3.42e-19    -0.44   0.664    -8.26e-19    5.28e-19
--------------------------------------------------------------------------------------
(est2 stored)
(sum of wgt is 485)

Linear regression                               Number of obs     =     12,961
                                                F(5, 484)         =     135.36
                                                Prob > F          =     0.0000
                                                R-squared         =     0.5492
                                                Root MSE          =     .06481

                                    (Std. err. adjusted for 485 clusters in llkk_year)
--------------------------------------------------------------------------------------
                     |               Robust
        diff_maj_min | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
---------------------+----------------------------------------------------------------
          right_inst |   .8734536   .1482438     5.89   0.000     .5821727    1.164735
           left_inst |   .6822698   .1551522     4.40   0.000     .3774148    .9871248
diff_vald_left_right |   .1423409   .1523087     0.93   0.350    -.1569271     .441609
          left_force |   2.521069   .7290539     3.46   0.001     1.088568    3.953571
         right_force |  -2.554539   .7918481    -3.23   0.001    -4.110423   -.9986547
               _cons |  -5.90e-20   2.50e-19    -0.24   0.814    -5.51e-19    4.33e-19
--------------------------------------------------------------------------------------
(est3 stored)
(sum of wgt is 485)

Linear regression                               Number of obs     =     12,961
                                                F(7, 484)         =     101.81
                                                Prob > F          =     0.0000
                                                R-squared         =     0.5562
                                                Root MSE          =     .06432

                                    (Std. err. adjusted for 485 clusters in llkk_year)
--------------------------------------------------------------------------------------
                     |               Robust
        diff_maj_min | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
---------------------+----------------------------------------------------------------
          right_inst |   .8494238   .1472669     5.77   0.000     .5600623    1.138785
           left_inst |   .6597104   .1511203     4.37   0.000     .3627775    .9566433
diff_vald_left_right |      .1304    .147662     0.88   0.378    -.1597377    .4205377
          left_force |   2.503307   .6499001     3.85   0.000     1.226333    3.780281
         right_force |    -2.2357   .7106843    -3.15   0.002    -3.632108   -.8392929
       left_force_sq |   13.21712   4.688754     2.82   0.005     4.004288    22.42994
      right_force_sq |  -4.966873   6.530634    -0.76   0.447    -17.79877    7.865023
               _cons |  -.0016655   .0003987    -4.18   0.000    -.0024489   -.0008821
--------------------------------------------------------------------------------------
(est4 stored)
(sum of wgt is 485)

Linear regression                               Number of obs     =     12,961
                                                F(9, 484)         =      90.77
                                                Prob > F          =     0.0000
                                                R-squared         =     0.5598
                                                Root MSE          =     .06406

                                    (Std. err. adjusted for 485 clusters in llkk_year)
--------------------------------------------------------------------------------------
                     |               Robust
        diff_maj_min | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
---------------------+----------------------------------------------------------------
          right_inst |   .8004683   .1478286     5.41   0.000     .5100032    1.090933
           left_inst |   .7098386   .1524176     4.66   0.000     .4103567     1.00932
diff_vald_left_right |   .0627201   .1486059     0.42   0.673    -.2292724    .3547126
          left_force |   1.802032   .7084577     2.54   0.011     .4099992    3.194064
         right_force |  -1.533978   .7878219    -1.95   0.052    -3.081951    .0139956
       left_force_sq |   13.03354   5.459542     2.39   0.017     2.306204    23.76087
      right_force_sq |  -10.33619   7.586018    -1.36   0.174    -25.24179    4.569405
      left_force_cub |   100.4835   39.31173     2.56   0.011     23.24074    177.7262
     right_force_cub |  -140.4722   49.48722    -2.84   0.005    -237.7085   -43.23587
               _cons |  -.0011355   .0005301    -2.14   0.033    -.0021772   -.0000938
--------------------------------------------------------------------------------------
(est5 stored)
(output written to tabA92.tex)
(sum of wgt is 166)

Linear regression                               Number of obs     =      6,872
                                                F(2, 112)         =       4.11
                                                Prob > F          =     0.0189
                                                R-squared         =     0.0064
                                                Root MSE          =     .18762

                                         (Std. err. adjusted for 113 clusters in llkk)
--------------------------------------------------------------------------------------
                     |               Robust
 diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
---------------------+----------------------------------------------------------------
           left_inst |  -.2333694   .1388765    -1.68   0.096    -.5085355    .0417967
diff_vald_left_right |   .2620558   .0924114     2.84   0.005     .0789544    .4451572
               _cons |  -2.85e-19   7.54e-19    -0.38   0.706    -1.78e-18    1.21e-18
--------------------------------------------------------------------------------------
(est1 stored)
(sum of wgt is 189)

Linear regression                               Number of obs     =      6,409
                                                F(2, 111)         =       2.09
                                                Prob > F          =     0.1287
                                                R-squared         =     0.0036
                                                Root MSE          =     .19475

                                         (Std. err. adjusted for 112 clusters in llkk)
--------------------------------------------------------------------------------------
                     |               Robust
 diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
---------------------+----------------------------------------------------------------
          right_inst |  -.1550885   .1245522    -1.25   0.216     -.401897      .09172
diff_vald_left_right |   .0422166    .093982     0.45   0.654     -.144015    .2284482
               _cons |   8.88e-19   6.72e-19     1.32   0.189    -4.43e-19    2.22e-18
--------------------------------------------------------------------------------------
(est2 stored)
(sum of wgt is 485)

Linear regression                               Number of obs     =     12,961
                                                F(5, 484)         =       4.13
                                                Prob > F          =     0.0011
                                                R-squared         =     0.0128
                                                Root MSE          =     .21216

                                    (Std. err. adjusted for 485 clusters in llkk_year)
--------------------------------------------------------------------------------------
                     |               Robust
 diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
---------------------+----------------------------------------------------------------
          right_inst |  -.2346449   .1546467    -1.52   0.130    -.5385067     .069217
           left_inst |  -.1549181   .1544994    -1.00   0.317    -.4584905    .1486543
diff_vald_left_right |   .1783837     .15114     1.18   0.238    -.1185879    .4753552
          left_force |   .7908546   .6681162     1.18   0.237    -.5219119    2.103621
         right_force |  -.2936564   .7079417    -0.41   0.678    -1.684675    1.097362
               _cons |   8.59e-20   4.11e-19     0.21   0.834    -7.21e-19    8.93e-19
--------------------------------------------------------------------------------------
(est3 stored)
(sum of wgt is 485)

Linear regression                               Number of obs     =     12,961
                                                F(7, 484)         =       3.68
                                                Prob > F          =     0.0007
                                                R-squared         =     0.0133
                                                Root MSE          =     .21212

                                    (Std. err. adjusted for 485 clusters in llkk_year)
--------------------------------------------------------------------------------------
                     |               Robust
 diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
---------------------+----------------------------------------------------------------
          right_inst |  -.2110149   .1566236    -1.35   0.179    -.5187611    .0967312
           left_inst |  -.1412134    .156418    -0.90   0.367    -.4485557    .1661289
diff_vald_left_right |   .1887462   .1509844     1.25   0.212    -.1079197     .485412
          left_force |   .8006688   .6756934     1.18   0.237    -.5269859    2.128324
         right_force |  -.5467088   .7425112    -0.74   0.462    -2.005652    .9122346
       left_force_sq |  -3.025324   6.756964    -0.45   0.655    -16.30193    10.25128
      right_force_sq |  -3.699404    8.02153    -0.46   0.645    -19.46073    12.06192
               _cons |   .0010401   .0006426     1.62   0.106    -.0002226    .0023028
--------------------------------------------------------------------------------------
(est4 stored)
(sum of wgt is 485)

Linear regression                               Number of obs     =     12,961
                                                F(9, 484)         =       4.00
                                                Prob > F          =     0.0001
                                                R-squared         =     0.0137
                                                Root MSE          =      .2121

                                    (Std. err. adjusted for 485 clusters in llkk_year)
--------------------------------------------------------------------------------------
                     |               Robust
 diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
---------------------+----------------------------------------------------------------
          right_inst |  -.2482072   .1586543    -1.56   0.118    -.5599435    .0635291
           left_inst |  -.1056258     .15868    -0.67   0.506    -.4174125    .2061609
diff_vald_left_right |   .1389653   .1589898     0.87   0.383    -.1734302    .4513608
          left_force |   .2932447   .7940386     0.37   0.712    -1.266944    1.853433
         right_force |  -.0227565    .874313    -0.03   0.979    -1.740674    1.695161
       left_force_sq |  -3.211627   6.114792    -0.53   0.600    -15.22644    8.803189
      right_force_sq |  -8.093434    10.5174    -0.77   0.442    -28.75884    12.57197
      left_force_cub |   73.09085   40.90202     1.79   0.075    -7.276597    153.4583
     right_force_cub |  -107.2508   74.09347    -1.45   0.148    -252.8354    38.33375
               _cons |   .0014873   .0010204     1.46   0.146    -.0005176    .0034923
--------------------------------------------------------------------------------------
(est5 stored)
(output written to tabA92.tex)
(sum of wgt is     1.6600e+02)

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on llkk

Number of clusters (llkk) =        113                Number of obs =     6872
                                                      F(  2,   112) =     3.94
                                                      Prob > F      =   0.0221
Total (centered) SS     =  243.3458507                Centered R2   =   0.0105
Total (uncentered) SS   =  243.3458507                Uncentered R2 =   0.0105
Residual SS             =  240.7957902                Root MSE      =    .1872

--------------------------------------------------------------------------------------
                     |               Robust
 diff_area_multi_bef | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
---------------------+----------------------------------------------------------------
        diff_maj_min |   -.266788   .1555931    -1.71   0.086    -.5717448    .0381688
diff_vald_left_right |   .2141478   .0759386     2.82   0.005     .0653109    .3629846
               _cons |   7.42e-20   4.35e-19     0.17   0.865    -7.79e-19    9.27e-19
--------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             14.989
                                                   Chi-sq(1) P-val =    0.0001
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):             1650.580
                         (Kleibergen-Paap rk Wald F statistic):         23.891
Stock-Yogo weak ID test critical values: 10% maximal IV size             16.38
                                         15% maximal IV size              8.96
                                         20% maximal IV size              6.66
                                         25% maximal IV size              5.53
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         diff_maj_min
Included instruments: diff_vald_left_right
Excluded instruments: left_inst
------------------------------------------------------------------------------
(est1 stored)
(sum of wgt is     1.8900e+02)

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on llkk

Number of clusters (llkk) =        112                Number of obs =     6409
                                                      F(  2,   111) =     2.06
                                                      Prob > F      =   0.1318
Total (centered) SS     =  243.8617441                Centered R2   =   0.0053
Total (uncentered) SS   =  243.8617441                Uncentered R2 =   0.0053
Residual SS             =  242.5797622                Root MSE      =    .1946

--------------------------------------------------------------------------------------
                     |               Robust
 diff_area_multi_bef | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
---------------------+----------------------------------------------------------------
        diff_maj_min |  -.1676431   .1324287    -1.27   0.206    -.4271985    .0919124
diff_vald_left_right |   .0664417   .0815922     0.81   0.415     -.093476    .2263595
               _cons |   8.99e-19   4.40e-19     2.04   0.041     3.62e-20    1.76e-18
--------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             19.431
                                                   Chi-sq(1) P-val =    0.0000
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):             1804.320
                         (Kleibergen-Paap rk Wald F statistic):         39.614
Stock-Yogo weak ID test critical values: 10% maximal IV size             16.38
                                         15% maximal IV size              8.96
                                         20% maximal IV size              6.66
                                         25% maximal IV size              5.53
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         diff_maj_min
Included instruments: diff_vald_left_right
Excluded instruments: right_inst
------------------------------------------------------------------------------
(est2 stored)
(sum of wgt is     4.8500e+02)

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on llkk_year

Number of clusters (llkk_year) =    485               Number of obs =    12961
                                                      F(  4,   484) =     4.78
                                                      Prob > F      =   0.0009
Total (centered) SS     =  590.6908806                Centered R2   =   0.0132
Total (uncentered) SS   =  590.6908806                Uncentered R2 =   0.0132
Residual SS             =  582.8742771                Root MSE      =    .2121

--------------------------------------------------------------------------------------
                     |               Robust
 diff_area_multi_bef | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
---------------------+----------------------------------------------------------------
        diff_maj_min |  -.2522526   .0938301    -2.69   0.007    -.4361562    -.068349
diff_vald_left_right |    .229749   .0622538     3.69   0.000     .1077337    .3517643
          left_force |   1.474993   .6311817     2.34   0.019     .2378997    2.712087
         right_force |  -.9834237   .5276265    -1.86   0.062    -2.017553    .0507051
               _cons |   3.55e-19   2.82e-19     1.26   0.207    -1.97e-19    9.08e-19
--------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             48.249
                                                   Chi-sq(2) P-val =    0.0000
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):             2075.590
                         (Kleibergen-Paap rk Wald F statistic):         61.962
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         diff_maj_min
Included instruments: diff_vald_left_right left_force right_force
Excluded instruments: right_inst left_inst
------------------------------------------------------------------------------
(est3 stored)
(sum of wgt is     4.8500e+02)

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on llkk_year

Number of clusters (llkk_year) =    485               Number of obs =    12961
                                                      F(  6,   484) =     4.17
                                                      Prob > F      =   0.0004
Total (centered) SS     =  590.6908806                Centered R2   =   0.0138
Total (uncentered) SS   =  590.6908806                Uncentered R2 =   0.0138
Residual SS             =  582.5411312                Root MSE      =     .212

--------------------------------------------------------------------------------------
                     |               Robust
 diff_area_multi_bef | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
---------------------+----------------------------------------------------------------
        diff_maj_min |  -.2348746   .1013086    -2.32   0.020    -.4334358   -.0363133
diff_vald_left_right |   .2317549   .0613313     3.78   0.000     .1115478    .3519621
          left_force |   1.427172   .6448431     2.21   0.027     .1633024    2.691041
         right_force |   -1.10865   .5465711    -2.03   0.043     -2.17991   -.0373907
       left_force_sq |   .1134226   7.139376     0.02   0.987     -13.8795    14.10634
      right_force_sq |  -4.918072    7.74782    -0.63   0.526    -20.10352    10.26738
               _cons |   .0006499    .000705     0.92   0.357    -.0007318    .0020316
--------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             52.093
                                                   Chi-sq(2) P-val =    0.0000
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):             1905.453
                         (Kleibergen-Paap rk Wald F statistic):         60.183
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Hansen J statistic (overidentification test of all instruments):         0.008
                                                   Chi-sq(1) P-val =    0.9266
------------------------------------------------------------------------------
Instrumented:         diff_maj_min
Included instruments: diff_vald_left_right left_force right_force left_force_sq
                      right_force_sq
Excluded instruments: right_inst left_inst
------------------------------------------------------------------------------
(est4 stored)
(sum of wgt is     4.8500e+02)

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on llkk_year

Number of clusters (llkk_year) =    485               Number of obs =    12961
                                                      F(  8,   484) =     4.27
                                                      Prob > F      =   0.0001
Total (centered) SS     =  590.6908806                Centered R2   =   0.0144
Total (uncentered) SS   =  590.6908806                Uncentered R2 =   0.0144
Residual SS             =  582.2062272                Root MSE      =    .2119

--------------------------------------------------------------------------------------
                     |               Robust
 diff_area_multi_bef | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
---------------------+----------------------------------------------------------------
        diff_maj_min |  -.2390824   .0997762    -2.40   0.017    -.4346403   -.0435246
diff_vald_left_right |   .2148679   .0633154     3.39   0.001      .090772    .3389637
          left_force |   .9464926   .6773735     1.40   0.162    -.3811352     2.27412
         right_force |  -.6124402   .6404271    -0.96   0.339    -1.867654    .6427739
       left_force_sq |   .0680276   6.531288     0.01   0.992    -12.73306    12.86912
      right_force_sq |  -10.47427   10.04017    -1.04   0.297    -30.15264    9.204107
      left_force_cub |   89.63527   38.52424     2.33   0.020     14.12914    165.1414
     right_force_cub |  -130.9248   70.43789    -1.86   0.063    -268.9805    7.130934
               _cons |   .0011905   .0010003     1.19   0.234    -.0007702    .0031511
--------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             47.606
                                                   Chi-sq(2) P-val =    0.0000
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):             1844.961
                         (Kleibergen-Paap rk Wald F statistic):         55.810
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Hansen J statistic (overidentification test of all instruments):         0.184
                                                   Chi-sq(1) P-val =    0.6683
------------------------------------------------------------------------------
Instrumented:         diff_maj_min
Included instruments: diff_vald_left_right left_force right_force left_force_sq
                      right_force_sq left_force_cub right_force_cub
Excluded instruments: right_inst left_inst
------------------------------------------------------------------------------
(est5 stored)
(output written to tabA92.tex)
\\micro.intra\Projekt\P0624$\P0624_Gem\Politisk Geografi\Results
(sum of wgt is 247)

Linear regression                               Number of obs     =      7,643
                                                F(2, 148)         =      52.38
                                                Prob > F          =     0.0000
                                                R-squared         =     0.3269
                                                Root MSE          =     .08707

                                         (Std. err. adjusted for 149 clusters in llkk)
--------------------------------------------------------------------------------------
                     |               Robust
        diff_maj_min | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
---------------------+----------------------------------------------------------------
           left_inst |   .9699563    .147284     6.59   0.000     .6789051    1.261007
diff_vald_left_right |  -.1671648   .1275879    -1.31   0.192     -.419294    .0849645
               _cons |   5.76e-19   4.20e-19     1.37   0.172    -2.54e-19    1.41e-18
--------------------------------------------------------------------------------------
(est1 stored)
(sum of wgt is 253)

Linear regression                               Number of obs     =      6,938
                                                F(2, 137)         =      40.01
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2349
                                                Root MSE          =     .08704

                                         (Std. err. adjusted for 138 clusters in llkk)
--------------------------------------------------------------------------------------
                     |               Robust
        diff_maj_min | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
---------------------+----------------------------------------------------------------
          right_inst |   .7609049   .1452266     5.24   0.000     .4737292    1.048081
diff_vald_left_right |   .0136485   .1148846     0.12   0.906    -.2135279    .2408249
               _cons |   3.37e-20   4.09e-19     0.08   0.935    -7.75e-19    8.42e-19
--------------------------------------------------------------------------------------
(est2 stored)
(sum of wgt is 752)

Linear regression                               Number of obs     =     15,432
                                                F(5, 751)         =     156.89
                                                Prob > F          =     0.0000
                                                R-squared         =     0.5121
                                                Root MSE          =     .08087

                                    (Std. err. adjusted for 752 clusters in llkk_year)
--------------------------------------------------------------------------------------
                     |               Robust
        diff_maj_min | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
---------------------+----------------------------------------------------------------
          right_inst |   .6319221   .1228601     5.14   0.000     .3907321    .8731122
           left_inst |   .8547461   .1375826     6.21   0.000     .5846539    1.124838
diff_vald_left_right |   -.101929   .1264723    -0.81   0.421    -.3502103    .1463523
          left_force |   1.226644   .6632664     1.85   0.065    -.0754331     2.52872
         right_force |   -.871978   .6654398    -1.31   0.190    -2.178321    .4343653
               _cons |   1.39e-19   2.86e-19     0.49   0.627    -4.22e-19    7.00e-19
--------------------------------------------------------------------------------------
(est3 stored)
(sum of wgt is 752)

Linear regression                               Number of obs     =     15,432
                                                F(7, 751)         =     120.56
                                                Prob > F          =     0.0000
                                                R-squared         =     0.5140
                                                Root MSE          =     .08073

                                    (Std. err. adjusted for 752 clusters in llkk_year)
--------------------------------------------------------------------------------------
                     |               Robust
        diff_maj_min | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
---------------------+----------------------------------------------------------------
          right_inst |   .6301007   .1227149     5.13   0.000     .3891957    .8710056
           left_inst |   .8451385   .1370606     6.17   0.000      .576071    1.114206
diff_vald_left_right |  -.1023309   .1257833    -0.81   0.416    -.3492597    .1445979
          left_force |   1.234378   .6442559     1.92   0.056    -.0303785    2.499135
         right_force |  -.8083037   .6443674    -1.25   0.210    -2.073279    .4566718
       left_force_sq |   5.004265   2.312183     2.16   0.031     .4651545    9.543376
      right_force_sq |  -1.388649   1.528406    -0.91   0.364    -4.389104    1.611807
               _cons |  -.0008833   .0003635    -2.43   0.015     -.001597   -.0001697
--------------------------------------------------------------------------------------
(est4 stored)
(sum of wgt is 752)

Linear regression                               Number of obs     =     15,432
                                                F(9, 751)         =     101.09
                                                Prob > F          =     0.0000
                                                R-squared         =     0.5168
                                                Root MSE          =     .08049

                                    (Std. err. adjusted for 752 clusters in llkk_year)
--------------------------------------------------------------------------------------
                     |               Robust
        diff_maj_min | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
---------------------+----------------------------------------------------------------
          right_inst |   .7026027   .1228571     5.72   0.000     .4614186    .9437868
           left_inst |   .7780328   .1332314     5.84   0.000     .5164825    1.039583
diff_vald_left_right |  -.0335658   .1208003    -0.28   0.781    -.2707123    .2035807
          left_force |   1.647258   .6043267     2.73   0.007      .460887    2.833628
         right_force |  -1.406426   .6413867    -2.19   0.029     -2.66555   -.1473017
       left_force_sq |   5.965904   2.438885     2.45   0.015     1.178061    10.75375
      right_force_sq |  -2.037441   1.135631    -1.79   0.073     -4.26683    .1919473
      left_force_cub |   -39.2678   31.91663    -1.23   0.219    -101.9242    23.38863
     right_force_cub |   47.69424    24.9777     1.91   0.057    -1.340172    96.72866
               _cons |  -.0008457   .0004002    -2.11   0.035    -.0016313   -.0000601
--------------------------------------------------------------------------------------
(est5 stored)
(output written to tabA93.tex)
(sum of wgt is 247)

Linear regression                               Number of obs     =      7,643
                                                F(2, 148)         =       3.35
                                                Prob > F          =     0.0377
                                                R-squared         =     0.0312
                                                Root MSE          =     .13421

                                         (Std. err. adjusted for 149 clusters in llkk)
--------------------------------------------------------------------------------------
                     |               Robust
diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
---------------------+----------------------------------------------------------------
           left_inst |  -.3035583   .1435699    -2.11   0.036    -.5872701   -.0198465
diff_vald_left_right |  -.0206778   .0769904    -0.27   0.789    -.1728203    .1314646
               _cons |  -1.05e-19   4.89e-19    -0.22   0.830    -1.07e-18    8.60e-19
--------------------------------------------------------------------------------------
(est1 stored)
(sum of wgt is 253)

Linear regression                               Number of obs     =      6,938
                                                F(2, 137)         =       0.68
                                                Prob > F          =     0.5094
                                                R-squared         =     0.0080
                                                Root MSE          =     .12927

                                         (Std. err. adjusted for 138 clusters in llkk)
--------------------------------------------------------------------------------------
                     |               Robust
diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
---------------------+----------------------------------------------------------------
          right_inst |  -.1532754   .1464471    -1.05   0.297    -.4428644    .1363136
diff_vald_left_right |   -.159448   .1369869    -1.16   0.246    -.4303302    .1114341
               _cons |   1.73e-20   4.96e-19     0.03   0.972    -9.63e-19    9.98e-19
--------------------------------------------------------------------------------------
(est2 stored)
(sum of wgt is 752)

Linear regression                               Number of obs     =     15,432
                                                F(5, 751)         =       9.02
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0448
                                                Root MSE          =      .1451

                                    (Std. err. adjusted for 752 clusters in llkk_year)
--------------------------------------------------------------------------------------
                     |               Robust
diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
---------------------+----------------------------------------------------------------
          right_inst |   .1011405   .1246666     0.81   0.417    -.1435959    .3458768
           left_inst |  -.3240575    .139701    -2.32   0.021    -.5983084   -.0498067
diff_vald_left_right |   .1271775   .1239555     1.03   0.305     -.116163     .370518
          left_force |   1.671356   .7481034     2.23   0.026     .2027329    3.139978
         right_force |  -1.860975   .6380263    -2.92   0.004    -3.113502    -.608448
               _cons |   1.71e-19   3.21e-19     0.53   0.594    -4.60e-19    8.02e-19
--------------------------------------------------------------------------------------
(est3 stored)
(sum of wgt is 752)

Linear regression                               Number of obs     =     15,432
                                                F(7, 751)         =       6.83
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0452
                                                Root MSE          =     .14508

                                    (Std. err. adjusted for 752 clusters in llkk_year)
--------------------------------------------------------------------------------------
                     |               Robust
diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
---------------------+----------------------------------------------------------------
          right_inst |   .0996865   .1246509     0.80   0.424    -.1450192    .3443923
           left_inst |  -.3274865   .1404737    -2.33   0.020    -.6032544   -.0517186
diff_vald_left_right |   .1276528   .1238482     1.03   0.303     -.115477    .3707826
          left_force |   1.682277   .7506165     2.24   0.025     .2087206    3.155833
         right_force |  -1.841694   .6408901    -2.87   0.004    -3.099844   -.5835452
       left_force_sq |  -.5164252   1.996085    -0.26   0.796    -4.434996    3.402145
      right_force_sq |   1.960851   1.651659     1.19   0.236    -1.281566    5.203269
               _cons |  -.0005379   .0004304    -1.25   0.212    -.0013827     .000307
--------------------------------------------------------------------------------------
(est4 stored)
(sum of wgt is 752)

Linear regression                               Number of obs     =     15,432
                                                F(9, 751)         =       7.03
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0492
                                                Root MSE          =     .14479

                                    (Std. err. adjusted for 752 clusters in llkk_year)
--------------------------------------------------------------------------------------
                     |               Robust
diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
---------------------+----------------------------------------------------------------
          right_inst |   .0459791   .1498743     0.31   0.759    -.2482433    .3402016
           left_inst |  -.3880981   .1590387    -2.44   0.015    -.7003113   -.0758849
diff_vald_left_right |   .1529409   .1493017     1.02   0.306    -.1401575    .4460393
          left_force |   2.321297   .8345541     2.78   0.006     .6829609    3.959633
         right_force |  -1.628993   .9281273    -1.76   0.080    -3.451025    .1930398
       left_force_sq |   -2.48688   2.561552    -0.97   0.332    -7.515535    2.541775
      right_force_sq |   2.306465   1.815689     1.27   0.204    -1.257965    5.870895
      left_force_cub |  -57.83958   58.07172    -1.00   0.320    -171.8418    56.16263
     right_force_cub |  -14.74267   34.26892    -0.43   0.667    -82.01694     52.5316
               _cons |  -.0003009   .0004823    -0.62   0.533    -.0012478     .000646
--------------------------------------------------------------------------------------
(est5 stored)
(output written to tabA93.tex)
(sum of wgt is     2.4700e+02)

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on llkk

Number of clusters (llkk) =        149                Number of obs =     7643
                                                      F(  2,   148) =     4.25
                                                      Prob > F      =   0.0160
Total (centered) SS     =  142.0360535                Centered R2   =   0.0174
Total (uncentered) SS   =  142.0360535                Uncentered R2 =   0.0174
Residual SS             =  139.5617564                Root MSE      =    .1351

--------------------------------------------------------------------------------------
                     |               Robust
diff_area_single_bef | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
---------------------+----------------------------------------------------------------
        diff_maj_min |  -.3129608   .1383777    -2.26   0.024    -.5841762   -.0417455
diff_vald_left_right |  -.0729939   .0708357    -1.03   0.303    -.2118293    .0658416
               _cons |   6.76e-20   3.50e-19     0.19   0.847    -6.19e-19    7.55e-19
--------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             13.874
                                                   Chi-sq(1) P-val =    0.0002
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):             2493.281
                         (Kleibergen-Paap rk Wald F statistic):         43.370
Stock-Yogo weak ID test critical values: 10% maximal IV size             16.38
                                         15% maximal IV size              8.96
                                         20% maximal IV size              6.66
                                         25% maximal IV size              5.53
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         diff_maj_min
Included instruments: diff_vald_left_right
Excluded instruments: left_inst
------------------------------------------------------------------------------
(est1 stored)
(sum of wgt is     2.5300e+02)

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on llkk

Number of clusters (llkk) =        138                Number of obs =     6938
                                                      F(  2,   137) =     0.73
                                                      Prob > F      =   0.4848
Total (centered) SS     =  116.8197306                Centered R2   =  -0.0001
Total (uncentered) SS   =  116.8197306                Uncentered R2 =  -0.0001
Residual SS             =   116.826899                Root MSE      =    .1298

--------------------------------------------------------------------------------------
                     |               Robust
diff_area_single_bef | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
---------------------+----------------------------------------------------------------
        diff_maj_min |  -.2014383   .1824623    -1.10   0.270    -.5590579    .1561813
diff_vald_left_right |  -.1566987   .1294032    -1.21   0.226    -.4103242    .0969268
               _cons |  -6.13e-20   2.98e-19    -0.21   0.837    -6.46e-19    5.24e-19
--------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             19.296
                                                   Chi-sq(1) P-val =    0.0000
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):             1235.378
                         (Kleibergen-Paap rk Wald F statistic):         27.452
Stock-Yogo weak ID test critical values: 10% maximal IV size             16.38
                                         15% maximal IV size              8.96
                                         20% maximal IV size              6.66
                                         25% maximal IV size              5.53
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         diff_maj_min
Included instruments: diff_vald_left_right
Excluded instruments: right_inst
------------------------------------------------------------------------------
(est2 stored)
(sum of wgt is     7.5200e+02)

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on llkk_year

Number of clusters (llkk_year) =    752               Number of obs =    15432
                                                      F(  4,   751) =    10.46
                                                      Prob > F      =   0.0000
Total (centered) SS     =  340.0085007                Centered R2   =   0.0335
Total (uncentered) SS   =  340.0085007                Uncentered R2 =   0.0335
Residual SS             =  328.6123701                Root MSE      =    .1459

--------------------------------------------------------------------------------------
                     |               Robust
diff_area_single_bef | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
---------------------+----------------------------------------------------------------
        diff_maj_min |  -.1632618   .1121893    -1.46   0.146    -.3831487    .0566251
diff_vald_left_right |   -.082861   .0568407    -1.46   0.145    -.1942667    .0285448
          left_force |   1.347634   .7214085     1.87   0.062    -.0663005    2.761569
         right_force |  -1.502726    .465033    -3.23   0.001    -2.414174   -.5912782
               _cons |   1.60e-19   2.46e-19     0.65   0.514    -3.21e-19    6.42e-19
--------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             72.593
                                                   Chi-sq(2) P-val =    0.0000
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):             1902.818
                         (Kleibergen-Paap rk Wald F statistic):         79.181
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Warning: estimated covariance matrix of moment conditions not of full rank.
         overidentification statistic not reported, and standard errors and
         model tests should be interpreted with caution.
Possible causes:
         number of clusters insufficient to calculate robust covariance matrix
         singleton dummy variable (dummy with one 1 and N-1 0s or vice versa)
partial option may address problem.
------------------------------------------------------------------------------
Instrumented:         diff_maj_min
Included instruments: diff_vald_left_right left_force right_force
Excluded instruments: right_inst left_inst
------------------------------------------------------------------------------
(est3 stored)
(sum of wgt is     7.5200e+02)

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on llkk_year

Number of clusters (llkk_year) =    752               Number of obs =    15432
                                                      F(  6,   751) =     7.44
                                                      Prob > F      =   0.0000
Total (centered) SS     =  340.0085007                Centered R2   =   0.0336
Total (uncentered) SS   =  340.0085007                Uncentered R2 =   0.0336
Residual SS             =  328.5678309                Root MSE      =    .1459

--------------------------------------------------------------------------------------
                     |               Robust
diff_area_single_bef | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
---------------------+----------------------------------------------------------------
        diff_maj_min |  -.1671358   .1142929    -1.46   0.144    -.3911458    .0568741
diff_vald_left_right |  -.0838495   .0567517    -1.48   0.140    -.1950808    .0273819
          left_force |   1.360694   .7263924     1.87   0.061    -.0630091    2.784397
         right_force |  -1.476884   .4717065    -3.13   0.002    -2.401412    -.552356
       left_force_sq |   .1382662   2.305705     0.06   0.952    -4.380832    4.657364
      right_force_sq |   1.792561   1.683852     1.06   0.287    -1.507729    5.092851
               _cons |  -.0006581   .0004805    -1.37   0.171    -.0015998    .0002836
--------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             72.902
                                                   Chi-sq(2) P-val =    0.0000
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):             1871.685
                         (Kleibergen-Paap rk Wald F statistic):         79.027
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Hansen J statistic (overidentification test of all instruments):         3.464
                                                   Chi-sq(1) P-val =    0.0627
------------------------------------------------------------------------------
Instrumented:         diff_maj_min
Included instruments: diff_vald_left_right left_force right_force left_force_sq
                      right_force_sq
Excluded instruments: right_inst left_inst
------------------------------------------------------------------------------
(est4 stored)
(sum of wgt is     7.5200e+02)

IV (2SLS) estimation
--------------------

Estimates efficient for homoskedasticity only
Statistics robust to heteroskedasticity and clustering on llkk_year

Number of clusters (llkk_year) =    752               Number of obs =    15432
                                                      F(  8,   751) =     6.07
                                                      Prob > F      =   0.0000
Total (centered) SS     =  340.0085007                Centered R2   =   0.0304
Total (uncentered) SS   =  340.0085007                Uncentered R2 =   0.0304
Residual SS             =  329.6590851                Root MSE      =    .1462

--------------------------------------------------------------------------------------
                     |               Robust
diff_area_single_bef | Coefficient  std. err.      z    P>|z|     [95% conf. interval]
---------------------+----------------------------------------------------------------
        diff_maj_min |  -.2252538   .1063781    -2.12   0.034    -.4337511   -.0167565
diff_vald_left_right |  -.0628336   .0507425    -1.24   0.216     -.162287    .0366199
          left_force |   1.935251   .6270013     3.09   0.002      .706351    3.164151
         right_force |   -1.25652   .5957731    -2.11   0.035    -2.424214    -.088826
       left_force_sq |  -1.592657   2.757295    -0.58   0.564    -6.996857    3.811542
      right_force_sq |   2.189573   1.827583     1.20   0.231    -1.392423    5.771569
      left_force_cub |  -41.13365   56.06501    -0.73   0.463     -151.019    68.75175
     right_force_cub |  -26.04085   29.04769    -0.90   0.370    -82.97327    30.89157
               _cons |  -.0005054    .000515    -0.98   0.326    -.0015146    .0005039
--------------------------------------------------------------------------------------
Underidentification test (Kleibergen-Paap rk LM statistic):             67.977
                                                   Chi-sq(2) P-val =    0.0000
------------------------------------------------------------------------------
Weak identification test (Cragg-Donald Wald F statistic):             1693.493
                         (Kleibergen-Paap rk Wald F statistic):         67.087
Stock-Yogo weak ID test critical values: 10% maximal IV size             19.93
                                         15% maximal IV size             11.59
                                         20% maximal IV size              8.75
                                         25% maximal IV size              7.25
Source: Stock-Yogo (2005).  Reproduced by permission.
NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
------------------------------------------------------------------------------
Hansen J statistic (overidentification test of all instruments):         2.304
                                                   Chi-sq(1) P-val =    0.1290
------------------------------------------------------------------------------
Instrumented:         diff_maj_min
Included instruments: diff_vald_left_right left_force right_force left_force_sq
                      right_force_sq left_force_cub right_force_cub
Excluded instruments: right_inst left_inst
------------------------------------------------------------------------------
(est5 stored)
(output written to tabA93.tex)

. 
. 
. ********************************
. ***** Histogram A1,A3,A8,A9  ***
. ********************************
. 
. cd "$temp"
\\micro.intra\Projekt\P0624$\P0624_Gem\Politisk Geografi\temp

. 
. egen tag_mun_year=tag(llkk year)

. 
. * fig A1
. loc set scheme(s1mono) bin(100) ysize(12) xsize(20) graphregion(margin(0 0 0 0)) scale(1.2) ///
> fraction ylabel(, angle(horizontal) grid) ytitle("")

. 
. hist adbef [fweight = f_dist_count]  ,  `set' xtitle(Adult citizens (18+) per neighborhood)  
(bin=100, start=94, width=29)

. graph save precinctpop_hist, replace
file precinctpop_hist.gph saved

. 
. hist dist_count if  tag==1 , `set' xtitle(Number of neighborhoods per municipality) 
(bin=100, start=1, width=5.02)

.  graph save precinctno_hist, replace
file precinctno_hist.gph saved

. 
. graph combine  precinctpop_hist.gph  precinctno_hist.gph, scheme(s1mono) col(2) ysize(7) xsize(20) iscale(1) ///
>  l1title(Fraction)

. graph export "$res\figA1.$e", replace
file \\micro.intra\Projekt\P0624$\P0624_Gem\Politisk Geografi\Results\figA1.eps saved as EPS format

. 
. 
. *fig A3
. la var own homeowners

. la var highed "teritiary educated"

. la var em "born in the West"

. la var highq "top income quartile"

. 
. foreach var in highq em own highed {
  2.  hist diff_`var'_bef [fweight = f_dist_count] , scheme(s1mono) bin(100) ///
>  ysize(12) xsize(20) graphregion(margin(0 0 0 0))  scale(1.2) fraction ///
>  xtitle(Concentration of `:var label `var'' )  ylabel(, angle(horizontal) grid) ytitle("") 
  3. graph save hist_`var', replace
  4. }
(bin=100, start=-.16713915, width=.00298414)
file hist_highq.gph saved
(bin=100, start=-.48069925, width=.00721421)
file hist_em.gph saved
(bin=100, start=-.47757722, width=.00893151)
file hist_own.gph saved
(bin=100, start=-.1527732, width=.00305955)
file hist_highed.gph saved

. 
. loc set scheme(s1mono) ysize(13) xsize(20) iscale(.9)

. graph combine  hist_highq.gph hist_highed.gph, `set'  l1title(Fraction) col(2) 

. graph save temp1, replace
file temp1.gph saved

. graph combine hist_em.gph hist_own.gph, `set'  l1title(Fraction) col(2) 

. graph save temp2, replace
file temp2.gph saved

. graph combine temp1.gph temp2.gph, `set' row(2)

. graph export "$res\figA3.$e",  replace
file \\micro.intra\Projekt\P0624$\P0624_Gem\Politisk Geografi\Results\figA3.eps saved as EPS format

. 
. 
. *fig A8-A9
. loc set scheme(s1mono) bin(100) ysize(12) xsize(20) scale(1.2) fraction ylabel(, angle(horizontal) grid) ///
> graphregion(margin(0 0 0 0)) ytitle("")

. 
. hist diff_area_multi_bef [fweight = f_dist_count], freq
(bin=67, start=-.37163814, width=.02010945)

. hist diff_area_multi_bef [fweight = f_dist_count],  `set' xtitle(Concentration of building permits for  multi-family home permits) 
>  
(bin=100, start=-.37163814, width=.01347333)

. graph save hist_multi, replace
file hist_multi.gph saved

. 
. 
. hist diff_area_single_bef [fweight = f_dist_count] ,  `set' xtitle(Concentration of building permits for single-family home permits
> )  
(bin=100, start=-.80862879, width=.01784398)

. graph save hist_single, replace
file hist_single.gph saved

. 
. graph combine  hist_multi.gph  hist_single.gph, scheme(s1mono) col(2) ysize(7) xsize(20) iscale(1)  l1title(Fraction)

. graph export "$res\figA8.$e",  replace
file \\micro.intra\Projekt\P0624$\P0624_Gem\Politisk Geografi\Results\figA8.eps saved as EPS format

. 
.  hist diff_maj_min [fweight = f_dist_count] , `set' xtitle("Difference in neighborhood concentration of" "majority vs opposition po
> liticians" )  
(bin=100, start=-.66666667, width=.01512821)

. graph export "$res\figA9.$e",  replace
file \\micro.intra\Projekt\P0624$\P0624_Gem\Politisk Geografi\Results\figA9.eps saved as EPS format

. 
. 
. 
. *********************
. ** *    Figure A6 ***
. *********************
.                         foreach sample in all  {
  2.         preserve
  3. local s=0
  4. matrix C =J(8,6,.)
  5. 
.         foreach p in  m c k f  g s v {
  6. local s=`s'+1
  7. reg votes_`p'_sh_mdiff  vald_`p'_sh_mdiff if `sample'==1 [aw= w_dist_count], cluster(llkk)
  8. sum votes_`p'_sh_mdiff  if vald_`p'_sh_mdiff!=. & `sample'==1 [aw= w_dist_count]
  9. local sdy=r(sd) 
 10. sum vald_`p'_sh_mdiff  if votes_`p'_sh_mdiff!=. & `sample'==1 [aw= w_dist_count]
 11. local sdx=r(sd) 
 12.         matrix C[`s',1]=(_b[ vald_`p'_sh_mdiff ])*`sdx'/`sdy'
 13.         matrix C[`s',2]=(_b[ vald_`p'_sh_mdiff ]+1.96*_se[vald_`p'_sh_mdiff ])*`sdx'/`sdy'
 14.         matrix C[`s',3]=(_b[ vald_`p'_sh_mdiff ]-1.96*_se[ vald_`p'_sh_mdiff ])*`sdx'/`sdy'
 15. matlist C
 16.         }
 17. svmat C
 18. sum C*
 19.  ren C1 est
 20.         ren C2 ci_low
 21.         ren C3 ci_high
 22. 
. gen pos =_n
 23. list pos est if !mi(est)
 24. drop if _n>7
 25. tab pos
 26. twoway (scatter pos est , msize(medlarge)  msymbol(circle)   mcolor(black)) ///
> (rbar ci_low ci_high pos , lwidth(vvthin)  fcolor(gs1) lcolor(gs1) lpattern(solid) horizontal barwidth(.015)) ///
>         ,xline(0, lcolor(gs1) lpattern(dash))   xlabel(, grid) ytitle(, size(zero))  ///
>   scale(1) ysize(15) xsize(20) scheme(s1mono)yscale(range(0.5 7.5))  ///
>   xtitle("Estimated relationship between share of the" "party's voters and the share of the party's politicians" "in the neighboorh
> ood population (beta coefficients)", size(medium))  ///
>         ylabel(  1 "Conservative Party"  2 "Center Party" ///
>          3 "Christian Democrats" 4 "Liberal Party"  5 "Green Party"  ///
>          6 "Social Democrats" 7 "Left Party" ///
>         , labsize(medsmall) angle(horizontal))  legend(off) xscale(range(0 0.7))        xlabel(0(0.1)0.7, grid)
 27. graph save      polvotes_`sample'_sh, replace
 28. 
.         restore
 29.         
.         }
(sum of wgt is 865)

Linear regression                               Number of obs     =     17,422
                                                F(1, 288)         =     368.45
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1031
                                                Root MSE          =     .05033

                                    (Std. err. adjusted for 289 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
votes_m_sh_md~f | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
vald_m_sh_mdiff |   20.96603   1.092258    19.20   0.000     18.81621    23.11585
          _cons |  -8.30e-19   9.65e-19    -0.86   0.391    -2.73e-18    1.07e-18
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
votes_m_sh~f |  17,422         865   -8.02e-19   .0531451  -.3124841    .456505

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
vald_m_sh_~f |  17,422         865    4.43e-22   .0008138    -.00307    .006919

             |        c1         c2         c3         c4         c5         c6 
-------------+-----------------------------------------------------------------
          r1 |  .3210533   .3538358   .2882708          .          .          . 
          r2 |         .          .          .          .          .          . 
          r3 |         .          .          .          .          .          . 
          r4 |         .          .          .          .          .          . 
          r5 |         .          .          .          .          .          . 
          r6 |         .          .          .          .          .          . 
          r7 |         .          .          .          .          .          . 
          r8 |         .          .          .          .          .          . 
(sum of wgt is 865)

Linear regression                               Number of obs     =     17,422
                                                F(1, 288)         =     155.79
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2672
                                                Root MSE          =     .06092

                                    (Std. err. adjusted for 289 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
votes_c_sh_md~f | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
vald_c_sh_mdiff |    37.1032   2.972623    12.48   0.000     31.25238    42.95402
          _cons |   7.82e-20   5.79e-19     0.14   0.893    -1.06e-18    1.22e-18
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
votes_c_sh~f |  17,422         865    1.25e-19   .0711659   -.250293   .4837406

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
vald_c_sh_~f |  17,422         865    1.09e-21   .0009915  -.0090756   .0114519

             |        c1         c2         c3         c4         c5         c6 
-------------+-----------------------------------------------------------------
          r1 |  .3210533   .3538358   .2882708          .          .          . 
          r2 |   .516926   .5980993   .4357528          .          .          . 
          r3 |         .          .          .          .          .          . 
          r4 |         .          .          .          .          .          . 
          r5 |         .          .          .          .          .          . 
          r6 |         .          .          .          .          .          . 
          r7 |         .          .          .          .          .          . 
          r8 |         .          .          .          .          .          . 
(sum of wgt is 865)

Linear regression                               Number of obs     =     17,422
                                                F(1, 288)         =     106.92
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1930
                                                Root MSE          =     .02222

                                    (Std. err. adjusted for 289 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
votes_k_sh_md~f | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
vald_k_sh_mdiff |   19.88594   1.923127    10.34   0.000     16.10077     23.6711
          _cons |  -5.69e-19   3.09e-19    -1.84   0.067    -1.18e-18    4.01e-20
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
votes_k_sh~f |  17,422         865   -5.81e-19   .0247394  -.1654808   .4613236

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
vald_k_sh_~f |  17,422         865    2.00e-22   .0005466   -.002439   .0096006

             |        c1         c2         c3         c4         c5         c6 
-------------+-----------------------------------------------------------------
          r1 |  .3210533   .3538358   .2882708          .          .          . 
          r2 |   .516926   .5980993   .4357528          .          .          . 
          r3 |  .4393466   .5226237   .3560696          .          .          . 
          r4 |         .          .          .          .          .          . 
          r5 |         .          .          .          .          .          . 
          r6 |         .          .          .          .          .          . 
          r7 |         .          .          .          .          .          . 
          r8 |         .          .          .          .          .          . 
(sum of wgt is 865)

Linear regression                               Number of obs     =     17,422
                                                F(1, 288)         =     157.98
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1281
                                                Root MSE          =      .0268

                                    (Std. err. adjusted for 289 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
votes_f_sh_md~f | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
vald_f_sh_mdiff |   20.71179   1.647865    12.57   0.000     17.46841    23.95518
          _cons |   1.63e-19   4.10e-19     0.40   0.691    -6.43e-19    9.69e-19
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
votes_f_sh~f |  17,422         865    1.35e-19   .0286961  -.2135034   .3634098

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
vald_f_sh_~f |  17,422         865    1.45e-22   .0004958  -.0018908   .0043863

             |        c1         c2         c3         c4         c5         c6 
-------------+-----------------------------------------------------------------
          r1 |  .3210533   .3538358   .2882708          .          .          . 
          r2 |   .516926   .5980993   .4357528          .          .          . 
          r3 |  .4393466   .5226237   .3560696          .          .          . 
          r4 |  .3578865   .4136956   .3020774          .          .          . 
          r5 |         .          .          .          .          .          . 
          r6 |         .          .          .          .          .          . 
          r7 |         .          .          .          .          .          . 
          r8 |         .          .          .          .          .          . 
(sum of wgt is 865)

Linear regression                               Number of obs     =     17,422
                                                F(1, 288)         =     132.37
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0490
                                                Root MSE          =       .015

                                    (Std. err. adjusted for 289 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
votes_g_sh_md~f | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
vald_g_sh_mdiff |   9.884945   .8591594    11.51   0.000     8.193918    11.57597
          _cons |  -1.36e-19   2.65e-19    -0.51   0.608    -6.57e-19    3.85e-19
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
votes_g_sh~f |  17,422         865   -1.30e-19   .0153764  -.1883674   .2676525

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
vald_g_sh_~f |  17,422         865   -4.07e-22   .0003444  -.0014778   .0046296

             |        c1         c2         c3         c4         c5         c6 
-------------+-----------------------------------------------------------------
          r1 |  .3210533   .3538358   .2882708          .          .          . 
          r2 |   .516926   .5980993   .4357528          .          .          . 
          r3 |  .4393466   .5226237   .3560696          .          .          . 
          r4 |  .3578865   .4136956   .3020774          .          .          . 
          r5 |  .2213714   .2590832   .1836596          .          .          . 
          r6 |         .          .          .          .          .          . 
          r7 |         .          .          .          .          .          . 
          r8 |         .          .          .          .          .          . 
(sum of wgt is 865)

Linear regression                               Number of obs     =     17,422
                                                F(1, 288)         =      87.81
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0455
                                                Root MSE          =      .0829

                                    (Std. err. adjusted for 289 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
votes_s_sh_md~f | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
vald_s_sh_mdiff |   14.90667     1.5908     9.37   0.000      11.7756    18.03774
          _cons |  -1.21e-18   1.54e-18    -0.78   0.433    -4.24e-18    1.82e-18
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
votes_s_sh~f |  17,422         865   -1.40e-18   .0848534  -.3214613   .5408823

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
vald_s_sh_~f |  17,422         865   -9.18e-21   .0012139  -.0048552    .013066

             |        c1         c2         c3         c4         c5         c6 
-------------+-----------------------------------------------------------------
          r1 |  .3210533   .3538358   .2882708          .          .          . 
          r2 |   .516926   .5980993   .4357528          .          .          . 
          r3 |  .4393466   .5226237   .3560696          .          .          . 
          r4 |  .3578865   .4136956   .3020774          .          .          . 
          r5 |  .2213714   .2590832   .1836596          .          .          . 
          r6 |  .2132525   .2578577   .1686474          .          .          . 
          r7 |         .          .          .          .          .          . 
          r8 |         .          .          .          .          .          . 
(sum of wgt is 865)

Linear regression                               Number of obs     =     17,422
                                                F(1, 288)         =      48.02
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0769
                                                Root MSE          =     .02202

                                    (Std. err. adjusted for 289 clusters in llkk)
---------------------------------------------------------------------------------
                |               Robust
votes_v_sh_md~f | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
vald_v_sh_mdiff |   11.48291   1.657016     6.93   0.000     8.221514    14.74431
          _cons |   7.77e-19   3.15e-19     2.47   0.014     1.57e-19    1.40e-18
---------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
votes_v_sh~f |  17,422         865    7.58e-19   .0229149  -.2676978   .3304162

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
vald_v_sh_~f |  17,422         865    2.49e-22   .0005532   -.002235   .0070901

             |        c1         c2         c3         c4         c5         c6 
-------------+-----------------------------------------------------------------
          r1 |  .3210533   .3538358   .2882708          .          .          . 
          r2 |   .516926   .5980993   .4357528          .          .          . 
          r3 |  .4393466   .5226237   .3560696          .          .          . 
          r4 |  .3578865   .4136956   .3020774          .          .          . 
          r5 |  .2213714   .2590832   .1836596          .          .          . 
          r6 |  .2132525   .2578577   .1686474          .          .          . 
          r7 |  .2772317    .355642   .1988213          .          .          . 
          r8 |         .          .          .          .          .          . 

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
          C1 |          7    .3352954    .1123789   .2132525   .5169261
          C2 |          7    .3944053    .1280684   .2578577   .5980993
          C3 |          7    .2761856      .09897   .1686473   .4357528
          C4 |          0
          C5 |          0
-------------+---------------------------------------------------------
          C6 |          0

       +----------------+
       | pos        est |
       |----------------|
    1. |   1   .3210534 |
    2. |   2   .5169261 |
    3. |   3   .4393466 |
    4. |   4   .3578865 |
    5. |   5   .2213714 |
       |----------------|
    6. |   6   .2132525 |
    7. |   7   .2772317 |
       +----------------+
(17,420 observations deleted)

        pos |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          1       14.29       14.29
          2 |          1       14.29       28.57
          3 |          1       14.29       42.86
          4 |          1       14.29       57.14
          5 |          1       14.29       71.43
          6 |          1       14.29       85.71
          7 |          1       14.29      100.00
------------+-----------------------------------
      Total |          7      100.00
file polvotes_all_sh.gph saved

.         
.         foreach sample in all  {
  2.         foreach pol in vald  {
  3. preserve
  4. local s=0
  5. matrix C =J(7,6,.)
  6. 
. foreach var  in highq highed em own  {
  7. local s=`s'+1
  8. 
. reg  `var'_sh_mdiff `pol'_sh_mdiff  if `sample'==1 [aw= w_dist_count], cluster(llkk)
  9. sum `var'_sh_mdiff  if `pol'_sh_mdiff!=. & `sample'==1 [aw= w_dist_count]
 10. local sdy=r(sd) 
 11. sum `pol'_sh_mdiff   if `var'_sh_mdiff!=. & `sample'==1 [aw= w_dist_count]
 12. local sdx=r(sd) 
 13. 
.         matrix C[`s',1]=(_b[ `pol'_sh_mdiff])*`sdx'/`sdy'
 14.         matrix C[`s',2]=(_b[ `pol'_sh_mdiff]+1.96*_se[`pol'_sh_mdiff])*`sdx'/`sdy'
 15.         matrix C[`s',3]=(_b[`pol'_sh_mdiff]-1.96*_se[`pol'_sh_mdiff])*`sdx'/`sdy'
 16. 
. 
. 
. }
 17. 
. 
. svmat C
 18. sum C*
 19.  ren C1 est
 20.         ren C2 ci_low
 21.         ren C3 ci_high
 22. gen pos =5-_n
 23. 
. drop if _n>4
 24. tab pos
 25. twoway (scatter pos est , msize(medlarge)  msymbol(circle)   mcolor(black)) ///
> (rbar ci_low ci_high pos , lwidth(vvthin)  fcolor(gs1) lcolor(gs1) lpattern(solid) horizontal barwidth(.015)) ///
>         ,xline(0, lcolor(gs1) lpattern(dash))   xlabel(, grid) ytitle(, size(zero))  ///
>   scale(1) ysize(15) xsize(20) scheme(s1mono)yscale(range(0.5 4.5))  xtitle("Estimated relationship with share of the advataged" "g
> roup and the share of politicians in the" "neighboorhood population  (beta coefficients)", size(medium))  ///
>         ylabel( 4 "Top income quartile" 3 "Tertiary educated"  ///
>          2 "Born in the West" 1 "Home owner" ///
>         , labsize(medsmall) angle(horizontal))  legend(off)
 26. graph save      aff_`pol'_`sample'_sh, replace
 27. 
.         restore
 28.         
.         }
 29.         }       
(sum of wgt is 865)

Linear regression                               Number of obs     =     17,422
                                                F(1, 288)         =      63.35
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0128
                                                Root MSE          =      .0554

                                  (Std. err. adjusted for 289 clusters in llkk)
-------------------------------------------------------------------------------
              |               Robust
highq_sh_md~f | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------+----------------------------------------------------------------
vald_sh_mdiff |   3.091557   .3884122     7.96   0.000      2.32707    3.856043
        _cons |  -3.44e-19   1.01e-18    -0.34   0.734    -2.34e-18    1.65e-18
-------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
highq_sh_m~f |  17,422         865   -2.84e-19    .055757  -.3260286   .3515114

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
vald_sh_md~f |  17,422         865    1.23e-20   .0020366  -.0093301   .0145956
(sum of wgt is 865)

Linear regression                               Number of obs     =     17,422
                                                F(1, 288)         =      56.43
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0112
                                                Root MSE          =     .06094

                                  (Std. err. adjusted for 289 clusters in llkk)
-------------------------------------------------------------------------------
              |               Robust
highed_sh_m~f | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------+----------------------------------------------------------------
vald_sh_mdiff |   3.182203   .4236216     7.51   0.000     2.348416     4.01599
        _cons |   9.63e-20   1.43e-18     0.07   0.946    -2.71e-18    2.90e-18
-------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
highed_sh_~f |  17,422         865    1.52e-19   .0612796  -.3431623   .7149097

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
vald_sh_md~f |  17,422         865    1.23e-20   .0020366  -.0093301   .0145956
(sum of wgt is 865)

Linear regression                               Number of obs     =     17,422
                                                F(1, 288)         =      73.20
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0101
                                                Root MSE          =     .04777

                                  (Std. err. adjusted for 289 clusters in llkk)
-------------------------------------------------------------------------------
              |               Robust
  em_sh_mdiff | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------+----------------------------------------------------------------
vald_sh_mdiff |   2.373893   .2774627     8.56   0.000     1.827781    2.920005
        _cons |  -4.50e-18   4.22e-18    -1.07   0.287    -1.28e-17    3.81e-18
-------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
 em_sh_mdiff |  17,422         865   -4.46e-18   .0480169  -.7483861   .2531374

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
vald_sh_md~f |  17,422         865    1.23e-20   .0020366  -.0093301   .0145956
(sum of wgt is 858.0324889471154)

Linear regression                               Number of obs     =     16,622
                                                F(1, 288)         =       5.64
                                                Prob > F          =     0.0182
                                                R-squared         =     0.0012
                                                Root MSE          =     .17488

                                  (Std. err. adjusted for 289 clusters in llkk)
-------------------------------------------------------------------------------
              |               Robust
 own_sh_mdiff | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------+----------------------------------------------------------------
vald_sh_mdiff |   2.961315   1.246895     2.37   0.018     .5071318    5.415498
        _cons |  -4.91e-06   4.94e-06    -0.99   0.321    -.0000146    4.82e-06
-------------------------------------------------------------------------------

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
own_sh_mdiff |  16,622  858.032489    5.55e-18   .1749817  -.8263824    .587871

    Variable |     Obs      Weight        Mean   Std. dev.       Min        Max
-------------+-----------------------------------------------------------------
vald_sh_md~f |  16,622  858.032489    1.66e-06   .0020394  -.0093301   .0145956

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
          C1 |          4    .0884702    .0363192   .0345143   .1129223
          C2 |          4    .1152079    .0354937   .0629982   .1407291
          C3 |          4    .0617324    .0372912   .0060303   .0851154
          C4 |          0
          C5 |          0
-------------+---------------------------------------------------------
          C6 |          0
(17,423 observations deleted)

        pos |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          1       25.00       25.00
          2 |          1       25.00       50.00
          3 |          1       25.00       75.00
          4 |          1       25.00      100.00
------------+-----------------------------------
      Total |          4      100.00
file aff_vald_all_sh.gph saved

.         
.         
.         graph combine   aff_vald_all_sh.gph polvotes_all_sh.gph, col(2) iscale(1.2) scheme(s1mono)       ysize(7) xsize(20)     ima
> rgin(r=10)

. 
. graph export "$res\figA6.$e",  replace  
file \\micro.intra\Projekt\P0624$\P0624_Gem\Politisk Geografi\Results\figA6.eps saved as EPS format

. 
. 
. 
. 
. ********************
. ***   Fig A11    ***
. ********************
. 
.         foreach treat in  diff_vald_maj_bef {
  2. foreach var  in   area_single   area_multi  {
  3.         foreach sample in  all {
  4.  preserve
  5.         local s=0
  6.         matrix C =J(1,3,.)
  7.         local s=`s'+1
  8.         reg diff_`var'_bef `treat'   [pw=w_dist_count ] if `sample' ==1 ,cluster(llkk)
  9.         matrix C[1,1]=_b[ `treat']
 10.         matrix C[1,2]=(_b[ `treat']+1.96*_se[ `treat'])
 11.         matrix C[1,3]=(_b[ `treat']-1.96*_se[ `treat'])
 12. 
.         svmat C
 13.         ren C1 est_`s'
 14.         ren C2 ci_low_`s'
 15.         ren C3 ci_high_`s'
 16.         gen pos_`s'=6 if est_`s'!=.
 17.         
.         *****
.         matrix C =J(1,3,.)
 18.         local s=`s'+1
 19.         reg diff_`var'_bef `treat'  $pop_cont [pw=w_dist_count ] if `sample' ==1 ,  cluster(llkk)
 20.         matrix C[1,1]=_b[ `treat']
 21.         matrix C[1,2]=(_b[ `treat']+1.96*_se[ `treat'])
 22.         matrix C[1,3]=(_b[ `treat']-1.96*_se[ `treat'])
 23. 
.         svmat C
 24.         ren C1 est_`s'
 25.         ren C2 ci_low_`s'
 26.         ren C3 ci_high_`s'
 27.         gen pos_`s'=5 if est_`s'!=.
 28.         
.         
.                 *****
.         matrix C =J(1,3,.)
 29.         local s=`s'+1
 30.         reg diff_`var'_bef `treat'   $turnout_cont  [pw=w_dist_count ] if `sample' ==1 ,  cluster(llkk)
 31.         matrix C[1,1]=_b[ `treat']
 32.         matrix C[1,2]=(_b[ `treat']+1.96*_se[ `treat'])
 33.         matrix C[1,3]=(_b[ `treat']-1.96*_se[ `treat'])
 34. 
.         svmat C
 35.         ren C1 est_`s'
 36.         ren C2 ci_low_`s'
 37.         ren C3 ci_high_`s'
 38.         gen pos_`s'=4 if est_`s'!=.
 39.         
.         ****
.         local s=`s'+1
 40.     reg diff_`var'_bef `treat'    $ecgeo_cont   [pw=w_dist_count ] if `sample' ==1 ,  cluster(llkk)
 41.         matrix C[1,1]=_b[ `treat']
 42.         matrix C[1,2]=(_b[ `treat']+1.96*_se[ `treat'])
 43.         matrix C[1,3]=(_b[ `treat']-1.96*_se[ `treat'])
 44. 
. 
.         svmat C
 45.         ren C1 est_`s'
 46.         ren C2 ci_low_`s'
 47.         ren C3 ci_high_`s'
 48.         gen pos_`s'=3 if est_`s'!=.
 49.         
.         ****
.         local s=`s'+1
 50.     reg diff_`var'_bef `treat'    diff_`var'_lag_bef [pw=w_dist_count ] if `sample' ==1 ,  cluster(llkk)
 51.         matrix C[1,1]=_b[ `treat']
 52.         matrix C[1,2]=(_b[ `treat']+1.96*_se[ `treat'])
 53.         matrix C[1,3]=(_b[ `treat']-1.96*_se[ `treat'])
 54. 
.         svmat C
 55.         ren C1 est_`s'
 56.         ren C2 ci_low_`s'
 57.         ren C3 ci_high_`s'
 58.         gen pos_`s'=2 if est_`s'!=.
 59.         ****
.         
.         local s=`s'+1
 60.         reg diff_`var'_bef `treat'    diff_`var'_lag_bef $pop_cont  $turnout_cont  $ecgeo_cont  ///
>                  [pw=w_dist_count ] if `sample' ==1 ,   cluster(llkk)
 61.         matrix C[1,1]=_b[ `treat']
 62.         matrix C[1,2]=(_b[ `treat']+1.96*_se[ `treat'])
 63.         matrix C[1,3]=(_b[ `treat']-1.96*_se[ `treat'])
 64. 
.         svmat C
 65.         ren C1 est_`s'
 66.         ren C2 ci_low_`s'
 67.         ren C3 ci_high_`s'
 68.         gen pos_`s'=1 if est_`s'!=.
 69.         ****
. 
. if  "`var'"=="area_single" loc t "Approved permits for" "single-family homes (sqm)"
 70. if "`var'"=="area_multi" loc t "Approved permits for" "multi-family homes (sqm)"
 71. 
.  
. * top part-yscale
. twoway (scatter  pos_1 est_1  , msize(medlarge)  msymbol(circle)   mcolor(gs1)) ///
>         (rbar ci_low_1 ci_high_1 pos_1 , lwidth(vvthin)  fcolor(gs1) lcolor(gs1) lpattern(solid) horizontal barwidth(.015)) ///
>         (scatter  pos_2 est_2  , msize(medlarge)  msymbol(circle)  mcolor(gs3)) ///
>         (rbar ci_low_2 ci_high_2 pos_2 , lwidth(vvthin)  fcolor(gs3) lcolor(gs3) lpattern(solid) horizontal barwidth(.015)) ///
>         (scatter  pos_3 est_3  , msize(medlarge)  msymbol(circle)  mcolor(gs5)) ///
>         (rbar ci_low_3 ci_high_3 pos_3 , lwidth(vvthin)  fcolor(gs5) lcolor(gs5) lpattern(solid) horizontal barwidth(.015)) ///
>         (scatter  pos_4 est_4  , msize(medlarge)  msymbol(circle)  mcolor(gs7)) ///
>         (rbar ci_low_4 ci_high_4 pos_4 , lwidth(vvthin)  fcolor(gs7) lcolor(gs7) lpattern(solid) horizontal barwidth(.015)) ///
>                 (scatter  pos_5 est_5  , msize(medlarge)  msymbol(circle)  mcolor(gs9)) ///
>         (rbar ci_low_5 ci_high_5 pos_5 , lwidth(vvthin)  fcolor(gs7) lcolor(gs9) lpattern(solid) horizontal barwidth(.015)) ///
>         (scatter  pos_6 est_6  , msize(medlarge)  msymbol(circle)  mcolor(gs11)) ///
>         (rbar ci_low_6 ci_high_6 pos_6 , lwidth(vvthin)  fcolor(gs7) lcolor(gs11) lpattern(solid) horizontal barwidth(.015)) ///
>         ,xline(0, lcolor(gs7) lpattern(dash)) yscale(range(0.5 6.5)) xtitle("") ///
>          ytitle(, size(zero)) ylabel(none)  scale(.7) ysize(20) xsize(20) scheme(s1mono) title("`t'") ///
>            xlabel(, angle(horizontal) grid) legend(on order(1 "No controls" 3  "Population composition" 5 "Turnout" 7 ///
>            "Economic Geography" 9 "Lagged outcome control" 11 "All controls") rows(1)  size(vsmall)) 
 72. graph save reg_`treat'_`sample'_`var', replace
 73. 
. restore
 74.         
.                 }
 75.                 }
 76.                 }
(sum of wgt is 767)

Linear regression                               Number of obs     =     15,708
                                                F(1, 285)         =       0.02
                                                Prob > F          =     0.8932
                                                R-squared         =     0.0000
                                                Root MSE          =     .14947

                                      (Std. err. adjusted for 286 clusters in llkk)
-----------------------------------------------------------------------------------
                  |               Robust
diff_area_s~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------+----------------------------------------------------------------
diff_vald_maj_bef |  -.0127182   .0946301    -0.13   0.893    -.1989807    .1735443
            _cons |   2.69e-19   3.83e-19     0.70   0.484    -4.85e-19    1.02e-18
-----------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 760.8224438732001)

Linear regression                               Number of obs     =     14,971
                                                F(7, 285)         =      42.05
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1459
                                                Root MSE          =     .13871

                                        (Std. err. adjusted for 286 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
diff_area_sin~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
  diff_vald_maj_bef |  -.0908332   .0744743    -1.22   0.224    -.2374228    .0557563
     diff_highq_bef |   .7556162    .288625     2.62   0.009     .1875091    1.323723
    diff_highed_bef |   .7666467   .2226051     3.44   0.001     .3284882    1.204805
       diff_own_bef |  -.1308373   .0636307    -2.06   0.041     -.256083   -.0055916
        diff_em_bef |   .3908558   .0601437     6.50   0.000     .2724736     .509238
   diff_retired_bef |  -.4895257   .1701378    -2.88   0.004    -.8244118   -.1546396
diff_child_7_15_bef |  -.3594938   .2389595    -1.50   0.134    -.8298431    .1108556
              _cons |   .0001228   .0000466     2.63   0.009     .0000311    .0002146
-------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 767)

Linear regression                               Number of obs     =     15,708
                                                F(2, 285)         =      23.67
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0316
                                                Root MSE          =     .14709

                                      (Std. err. adjusted for 286 clusters in llkk)
-----------------------------------------------------------------------------------
                  |               Robust
diff_area_s~e_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------+----------------------------------------------------------------
diff_vald_maj_bef |  -.0776259   .0984598    -0.79   0.431    -.2714266    .1161748
  diff_voters_bef |   1.069671   .1567502     6.82   0.000     .7611362    1.378206
            _cons |  -3.58e-20   5.46e-19    -0.07   0.948    -1.11e-18    1.04e-18
-----------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 766.041842426751)

Linear regression                               Number of obs     =     15,671
                                                F(5, 285)         =      50.93
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1693
                                                Root MSE          =     .13633

                                           (Std. err. adjusted for 286 clusters in llkk)
----------------------------------------------------------------------------------------
                       |               Robust
  diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-----------------------+----------------------------------------------------------------
     diff_vald_maj_bef |   -.090379   .0687132    -1.32   0.189    -.2256288    .0448708
 diff_b_area_multi_bef |   .0109733   .0645655     0.17   0.865    -.1161125    .1380591
diff_b_area_single_bef |    1.29352   .1905001     6.79   0.000     .9185544    1.668486
        pop_dens_mdiff |   .0439418   .0221719     1.98   0.048     .0003003    .0875832
    floorarea_pc_mdiff |  -.0004179   .0001842    -2.27   0.024    -.0007805   -.0000554
                 _cons |   .0000155   8.48e-06     1.83   0.068    -1.18e-06    .0000322
----------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 767)

Linear regression                               Number of obs     =     15,708
                                                F(2, 285)         =      60.66
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2165
                                                Root MSE          =     .13231

                                             (Std. err. adjusted for 286 clusters in llkk)
------------------------------------------------------------------------------------------
                         |               Robust
    diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------------+----------------------------------------------------------------
       diff_vald_maj_bef |  -.0413233   .0666348    -0.62   0.536    -.1724821    .0898356
diff_area_single_lag_bef |     .49012   .0445218    11.01   0.000     .4024868    .5777532
                   _cons |   3.13e-19   3.15e-19     0.99   0.321    -3.07e-19    9.34e-19
------------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 760.1097408454056)

Linear regression                               Number of obs     =     14,938
                                                F(13, 285)        =      55.09
                                                Prob > F          =     0.0000
                                                R-squared         =     0.3016
                                                Root MSE          =     .12552

                                             (Std. err. adjusted for 286 clusters in llkk)
------------------------------------------------------------------------------------------
                         |               Robust
    diff_area_single_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------------+----------------------------------------------------------------
       diff_vald_maj_bef |  -.0958319   .0566691    -1.69   0.092     -.207375    .0157112
diff_area_single_lag_bef |   .3398788   .0466286     7.29   0.000     .2480986     .431659
          diff_highq_bef |   .3792459   .2781442     1.36   0.174    -.1682315    .9267234
         diff_highed_bef |   .5163234    .159637     3.23   0.001     .2021062    .8305406
            diff_own_bef |  -.0651379   .0411562    -1.58   0.115    -.1461465    .0158707
             diff_em_bef |   .0029565   .0525739     0.06   0.955     -.100526    .1064389
        diff_retired_bef |  -.1979046   .1386959    -1.43   0.155    -.4709029    .0750937
     diff_child_7_15_bef |  -.3752406   .1978601    -1.90   0.059    -.7646931     .014212
         diff_voters_bef |  -.2190336   .2439051    -0.90   0.370    -.6991176    .2610504
   diff_b_area_multi_bef |  -.0005286   .0608255    -0.01   0.993    -.1202528    .1191956
  diff_b_area_single_bef |   .8569323   .1986338     4.31   0.000     .4659569    1.247908
          pop_dens_mdiff |   .0300916   .0185964     1.62   0.107    -.0065122    .0666954
      floorarea_pc_mdiff |  -.0002768   .0001745    -1.59   0.114    -.0006204    .0000667
                   _cons |   .0000103   .0000212     0.48   0.629    -.0000316    .0000521
------------------------------------------------------------------------------------------
(17,426 missing values generated)
file reg_diff_vald_maj_bef_all_area_single.gph saved
(sum of wgt is 495)

Linear regression                               Number of obs     =     13,211
                                                F(1, 228)         =      21.03
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0095
                                                Root MSE          =       .212

                                      (Std. err. adjusted for 229 clusters in llkk)
-----------------------------------------------------------------------------------
                  |               Robust
diff_area_m~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------+----------------------------------------------------------------
diff_vald_maj_bef |  -.3254343   .0709728    -4.59   0.000    -.4652806   -.1855879
            _cons |   5.61e-20   5.60e-19     0.10   0.920    -1.05e-18    1.16e-18
-----------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 489.1861884619447)

Linear regression                               Number of obs     =     12,479
                                                F(7, 228)         =      38.19
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1233
                                                Root MSE          =     .20062

                                        (Std. err. adjusted for 229 clusters in llkk)
-------------------------------------------------------------------------------------
                    |               Robust
diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
  diff_vald_maj_bef |  -.2682255   .0648757    -4.13   0.000    -.3960581   -.1403929
     diff_highq_bef |   1.386293   .4220739     3.28   0.001      .554629    2.217957
    diff_highed_bef |   .5887376   .3287857     1.79   0.075    -.0591094    1.236584
       diff_own_bef |  -.2140995    .096696    -2.21   0.028    -.4046316   -.0235674
        diff_em_bef |  -.6717418   .0952438    -7.05   0.000    -.8594124   -.4840711
   diff_retired_bef |   1.353829   .3336425     4.06   0.000     .6964117    2.011246
diff_child_7_15_bef |  -1.046967   .4290298    -2.44   0.015    -1.892338    -.201597
              _cons |    .000156   .0000607     2.57   0.011     .0000364    .0002756
-------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 495)

Linear regression                               Number of obs     =     13,211
                                                F(2, 228)         =      20.95
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0267
                                                Root MSE          =     .21016

                                      (Std. err. adjusted for 229 clusters in llkk)
-----------------------------------------------------------------------------------
                  |               Robust
diff_area_m~i_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------+----------------------------------------------------------------
diff_vald_maj_bef |  -.2512446   .0685081    -3.67   0.000    -.3862345   -.1162547
  diff_voters_bef |  -1.261156   .2502417    -5.04   0.000    -1.754238   -.7680738
            _cons |   2.15e-19   5.09e-19     0.42   0.673    -7.88e-19    1.22e-18
-----------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 494.2872969722055)

Linear regression                               Number of obs     =     13,178
                                                F(5, 228)         =      41.95
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1549
                                                Root MSE          =     .19599

                                           (Std. err. adjusted for 229 clusters in llkk)
----------------------------------------------------------------------------------------
                       |               Robust
   diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-----------------------+----------------------------------------------------------------
     diff_vald_maj_bef |  -.1141753   .0648062    -1.76   0.079    -.2418709    .0135204
 diff_b_area_multi_bef |   .8755407   .1217766     7.19   0.000     .6355892    1.115492
diff_b_area_single_bef |   .0639672   .1837939     0.35   0.728    -.2981846    .4261191
        pop_dens_mdiff |  -.0718568   .0353572    -2.03   0.043    -.1415254   -.0021882
    floorarea_pc_mdiff |  -.0002638   .0002376    -1.11   0.268    -.0007319    .0002042
                 _cons |   .0000101   .0000157     0.64   0.521    -.0000209    .0000411
----------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 495)

Linear regression                               Number of obs     =     13,211
                                                F(2, 228)         =      29.00
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0532
                                                Root MSE          =     .20728

                                            (Std. err. adjusted for 229 clusters in llkk)
-----------------------------------------------------------------------------------------
                        |               Robust
    diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
      diff_vald_maj_bef |  -.3136616    .066525    -4.71   0.000    -.4447441   -.1825792
diff_area_multi_lag_bef |   .2651693   .0415921     6.38   0.000     .1832153    .3471234
                  _cons |   1.50e-19   4.75e-19     0.32   0.752    -7.85e-19    1.09e-18
-----------------------------------------------------------------------------------------
(17,426 missing values generated)
(sum of wgt is 488.4734854341502)

Linear regression                               Number of obs     =     12,446
                                                F(13, 228)        =      27.05
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1868
                                                Root MSE          =      .1934

                                            (Std. err. adjusted for 229 clusters in llkk)
-----------------------------------------------------------------------------------------
                        |               Robust
    diff_area_multi_bef | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
      diff_vald_maj_bef |  -.1662706   .0645943    -2.57   0.011    -.2935486   -.0389925
diff_area_multi_lag_bef |   .1208067   .0445197     2.71   0.007     .0330841    .2085293
         diff_highq_bef |   1.492925   .3855717     3.87   0.000     .7331857    2.252664
        diff_highed_bef |   .4497616   .2930435     1.53   0.126    -.1276581    1.027181
           diff_own_bef |  -.1048597   .0868077    -1.21   0.228    -.2759076    .0661882
            diff_em_bef |  -.0936907   .1278097    -0.73   0.464    -.3455298    .1581485
       diff_retired_bef |   .8786152   .3780969     2.32   0.021     .1336043    1.623626
    diff_child_7_15_bef |   .0646967   .4132703     0.16   0.876    -.7496207    .8790141
        diff_voters_bef |  -.5537251   .4089718    -1.35   0.177    -1.359573    .2521224
  diff_b_area_multi_bef |   .7295616   .1321565     5.52   0.000     .4691575    .9899658
 diff_b_area_single_bef |   .0020238   .1848214     0.01   0.991    -.3621526    .3662003
         pop_dens_mdiff |   -.041586   .0262201    -1.59   0.114    -.0932506    .0100787
     floorarea_pc_mdiff |  -.0002206   .0002085    -1.06   0.291    -.0006315    .0001902
                  _cons |   .0001065   .0000563     1.89   0.060    -4.38e-06    .0002173
-----------------------------------------------------------------------------------------
(17,426 missing values generated)
file reg_diff_vald_maj_bef_all_area_multi.gph saved

. 
.                 
. grc1leg reg_diff_vald_maj_bef_all_area_multi.gph reg_diff_vald_maj_bef_all_area_single.gph   , ///
>             ysize(7) xsize(40) col(2) iscale(1) scheme(s1mono) xcommon b1("Estimated effect of residential concentration of majorit
> y vs. population", size(small)) ring(2)

. graph display,  ysize(15) xsize(22)     

. 
. graph export "$res\figA11.$e", replace  
file \\micro.intra\Projekt\P0624$\P0624_Gem\Politisk Geografi\Results\figA11.eps saved as EPS format

.         
. 
. log close
      name:  <unnamed>
       log:  \\micro.intra\Projekt\P0624$\P0624_Gem\Politisk Geografi\Results\log\appendix.log
  log type:  text
 closed on:   2 Oct 2023, 18:16:47
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